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A personal list of talks. If you have a question about this list, please contact: David Knowles. If you have a question about a specific talk, click on that talk to find its organiser. 8 upcoming talks and 2434 talks in the archive: show all (slow!). Machine Learning Reading Group @ CUED Discussing the Stanford AI ReportZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Discussing the Stanford AI ReportZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure
Machine Learning Reading Group @ CUED AI ControlZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Neural likelihood-free inferenceZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Seminars on Quantitative Biology @ CRUK Cambridge Institute Screening Approaches for the Identification of Covalent Peptide Inhibitors
MRC Biostatistics Unit Seminars BSU Seminar: “Bayesian behavioural-change epidemic models: is your population alarmed?”This will be a free hybrid seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register/tZ0vceqsqDwtHNLalYuBk7GmojclSXN5wIcE
Machine Learning Reading Group @ CUED An Introduction to the Conjugate Gradient MethodZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Concentration and Free Probability
MRC Biostatistics Unit Seminars BSU Seminar: "Using Joint Models for Longitudinal and Time-to-Event Data to Investigate the Causal Effect of Salvage Therapy after Prostatectomy"This will be a free online seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register/tZclceGorT0qE9YE3YCcRSFhCPPH_6ZNFPgh
Computational and Systems Biology Seminar Series 2023 - 24 Mathematical modelling to develop insights into cancer evolution
MRC Biostatistics Unit Seminars BSU Seminar: "Uncertainty Quantification in the Digital Medicine Era"This will be a free hybrid event. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register/tZAsduitrTotGNZxFmtFPPAx6Jh2LZfCYbV3
Barycentric subspace analysis for sets of unlabeled graphs
Machine Learning Reading Group @ CUED An Introduction to Transformer Neural ProcessesZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Seminars on Quantitative Biology @ CRUK Cambridge Institute Cell size - A new hallmark of aging?
Consistent Validation for Predictive Methods in Spatial Settings
Computational and Systems Biology Seminar Series 2023 - 24 Mapping DNA replication stress in cancer cells and parasites with long-read sequencing and AI
Machine Learning Reading Group @ CUED Learning Symmetries in Neural NetworksZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
MRC Biostatistics Unit Seminars BSU Seminar: "Statistical modelling for state-of-the-art gene editing experiments"This will be a free hybrid seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register/tZcqdOmqqzsuE9HyOT32ptW3DZiTCmkZT-3X#/registration
Compressed sensing for the sparse Radon transform
Computational and Systems Biology Seminar Series 2023 - 24 Modelling Blood Cell Development across Molecular and Tissue Scales
Machine Learning Reading Group @ CUED GenCast: Diffusion-based ensemble forecasting for medium-range weather (or: How to ruin a numerical weather forecaster’s Christmas)Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
MRC Biostatistics Unit Seminars BSU Seminar: "Graphical and summary diagnostics for node level adequacy in Bayesian hierarchical models"This will be a free online seminar. To register to attend, please click here: https://cam-ac-uk.zoom.us/meeting/register/tZYocuCvpjotHNQoiEBwivER-WSnaKd-IlFw
Robust density estimation and model selection for the L1 loss : Applications to shape-constrained density estimation.
Computational and Systems Biology Seminar Series 2023 - 24 Horizonal gene transfer in transmissible cancers
Machine Learning Reading Group @ CUED Bayesian coresetsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Seminars on Quantitative Biology @ CRUK Cambridge Institute Functional studies of genetic variation using precision genome editing
M-estimation, noisy optimization and user-level local privacy
MRC Biostatistics Unit Seminars BSU Seminar: "Semiparametric posterior corrections"This will be a free hybrid seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register/tZIqd-quqjkiHtRsIwSM3Sec0QFfHrtRftXa
Response-adaptive randomization in clinical trials: from myths to practical considerations
MRC Biostatistics Unit Seminars BSU Seminar: "Causal machine learning for biomarker subgroup discovery in randomised trials".This will be a free hybrid seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register/tZ0rf-qppzwsEtEisA_2ZCkA3KoJ3d53uW1P
Non-asymptotic control of a kernel 2-sample test
MRC Biostatistics Unit Seminars BSU Seminar: "Hyper-Localization and Predictive Modeling of Rapid Lung Function Decline in Cystic Fibrosis"This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZ0qdOyurDkjHdO0RzdaqWctUrYMks1YPvY1
MRC Biostatistics Unit Seminars BSU Seminar: "Unravelling the mechanisms and decision-making logic of biological systems"This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZwtdOisrTosGNIMVJIXmGuq2X_so_tpo7s6
Machine Learning Reading Group @ CUED Flow matching, stochastic interpolants and everything in betweenZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Modern Bayesian Experimental Design
Seminars on Quantitative Biology @ CRUK Cambridge Institute Exploring cell heterogeneity in health and disease using single-cell proteomics and transcriptomics
Manifold Fitting: an Invitation to Data Science
Machine Learning Reading Group @ CUED Challenges of Regulating Increasingly Complicated Human-AI Collaborative SystemsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
MRC Biostatistics Unit Seminars BSU Seminar: "A new frequentist implementation of the Daniels and Hughes bivariate meta-analysis model for surrogate outcomes"This will be a free hybrid seminar. To register to attend virtually, please click on this link: https://us02web.zoom.us/meeting/register/tZAqcuuurzIuGtEUj6y8h6vKpM1Krt5hj60L
Entropic optimal transport: stability, limit theorems, and algorithms
Machine Learning Reading Group @ CUED A Poisson Process Model for Monte CarloZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
MRC Biostatistics Unit Seminars BSU Seminar: "Harnessing Extra Randomness: Replicability, Flexibility and Causality"This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZAofuihqzgvHNyG24AgAAytgHlr1nmpetpx
Nonparametric Statistics for SPDEs
Machine Learning Reading Group @ CUED Learning Directed Acyclic Graphs (DAGs) With Continuous OptimizationZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Frequency and cardinality recovery from sketched data: a novel approach bridging Bayesian and frequentist views
Machine Learning Reading Group @ CUED Deep Learning for Medium-Range Global Weather PredictionZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Adaptive two-sample testing
Machine Learning Reading Group @ CUED Learning linear models in-context with transformersZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
MRC Biostatistics Unit Seminars BSU Seminar: "Dynamic survival analysis: modelling the hazard function via ordinary differential equations"This will be a free hybrid event. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZYlce-spjIqHdQ4PYgBuSHSUSDRmLBAJQ5n
Seminars on Quantitative Biology @ CRUK Cambridge Institute TBC
Trading-Off Payments and Accuracy in Online Classification
A new coefficient of correlation
Machine Learning Reading Group @ CUED Quasi-Monte Carlo: structure in the randomness for better sampling
Orthogonal prediction of counterfactual outcomes
Faster log-concave sampling via algorithmic warm starts
MRC Biostatistics Unit Seminars BSU Seminar: 'Some advances and applications of robust gradient-based Markov chain Monte Carlo'This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZUsdOypqTwrH9LeiEEIL8dXxO_IpOC8lVMS
Visit and talk by Jay McClelland: "Some thoughts on the differences between human and machine intelligence"
Residual Permutation Test for High-Dimensional Regression Coefficient Testing
Compositional mathematics and automatic gradient descent
Seminars on Quantitative Biology @ CRUK Cambridge Institute Studying human oncoproteins beyond cancer: lessons learned from the RAS GTPases
Machine Learning Reading Group @ CUED Deciphering Batch Effects in Single-cell Transcriptomics with Concept BottlenecksZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Schrödinger bridges, diffusion and SDEsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Response-adaptive randomization in clinical trials: from myths to practical considerationsCanceled
Machine Learning Reading Group @ CUED The LLM Tidal WaveZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED The LLM Tidal WaveZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Bayesian Inference using Generative ModelsRoom changed
Machine Learning Reading Group @ CUED Game theory, distributional reinforcement learning, control and verificationZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
MRC Biostatistics Unit Seminars BSU Seminar: 'Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19'This will be an online seminar. To register to attend, please click on this link: https://us02web.zoom.us/meeting/register/tZ0ocO6qrTsiH9V3mlmvd_EOYT1sTBOKOmUZ
Simultaneous Directional InferenceRoom changed
Machine Learning Reading Group @ CUED On choosing the mass matrix for Hamiltonian Monte CarloZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Randomized and exchangeable improvements of Markov's, Chebyshev's and Chernoff's inequalities
Machine Learning Reading Group @ CUED Reward ModellingZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
MRC Biostatistics Unit Seminars BSU Seminar: 'Modelling the response to vaccine in non-human primates to define SARS-CoV-2 mechanistic correlates of protection'This will be a free online seminar. To register to attend, please click here: https://us02web.zoom.us/meeting/register/tZUuf-usqDovGdf1TbAtYgsGCRJmoz0Hmbfi
Seminars on Quantitative Biology @ CRUK Cambridge Institute OpenFold: Lessons learned and insights gained from rebuilding and retraining AlphaFold2.On Zoom Only
Physics informed spatial and functional data analysis over non-Euclidean domains
Computational and Systems Biology CCBI/C2D3 Computational Biology Annual Symposium
A powerful empirical Bayes approach for high dimensional replicability analysis
Convergence bounds for the Random Walk Metropolis algorithm - Perspectives from Isoperimetry
Machine Learning Reading Group @ CUED Navigating the Future: Upcoming EU AI Regulation and its Potential Impact on the FieldZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Bayesian sensitivity analysis in causal analysis
Machine Learning Reading Group @ CUED Learning-based multiscale modeling: computing, data science, and uncertainty quantificationZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Fundamental limits of generative AI
Machine Learning Reading Group @ CUED Neural Tangent KernelZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
MRC Biostatistics Unit Seminars BSU Seminar: 'Covariate Adjustment in Randomized Experiments with Incomplete Covariate and Outcome Data'
Machine Learning Reading Group @ CUED No-regret Dynamics for Multi-agent LearningZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Machine Learning Reading Group @ CUED Scalable Approaches to Self-Supervised Learning using Spectral AnalysisZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Machine Learning Reading Group @ CUED Physics-informed machine learningZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Seminars on Quantitative Biology @ CRUK Cambridge Institute Oncogene-like addiction to aneuploidy in human cancers
Machine Learning Reading Group @ CUED Causal Machine LearningZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational and Systems Biology Seminar Series 2023 - 24 Finding Target-Disease-Drug evidences from Literature and supporting curators. Please note: the details of this talk have changedOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED User Manipulation in Recommender SystemsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Statistical Challenges in Genetic Analysis of Biobank DataNote unusual time
Computational and Systems Biology Seminar Series 2023 - 24 Discovering the gene networks that regulate hungerOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED Random Features for Kernel ApproximationZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
MRC Biostatistics Unit Seminars BSU Seminar: 'Methods for Bayesian optimal design of experiments, with application in biological science’This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZcrd-uoqjMiGN3f68WQc7zJQ7LmM4sZa2rx
Linear regression with unmatched data: a deconvolution perspective
Computational and Systems Biology Seminar Series 2023 - 24 Computational Biology in Drug DiscoveryOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED An Overview of Differential Privacy, Membership Inference Attacks, and Federated LearningZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Stochastic Causal Programming for Bounding Treatment Effects
Computational and Systems Biology Seminar Series 2023 - 24 Seeing the UnseenOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED Bayesian Neural NetworksZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
MRC Biostatistics Unit Seminars BSU Seminar: 'Bayesian Covariance Structure Modelling of Clinical Trial Data'This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZcpf-uvrDMiGtLpMKemoVfOPmiD91Ju0-Xq
Parameterizing and Simulating from Causal Models
Computational and Systems Biology Seminar Series 2023 - 24 Mapping DNA replication stress in parasites and cancer cells with long-read sequencing and AIOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED Offline Reinforcement LearningZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
MRC Biostatistics Unit Seminars BSU Seminar: 'From Data to Decisions: Causal Inference Motivated by Policy Questions'This will be a free hybrid seminar. To register to attend virtually, please click on this link: https://us02web.zoom.us/meeting/register/tZwodOytqjItGNL_he9tZXSxmdT7KTWWQRgF
Seminars on Quantitative Biology @ CRUK Cambridge Institute Mammalian Synthetic Biology – Biomolecular Circuits as Medicine
The Kalman-Bucy filter revisited: Mean-field equations & dualityJoint Statistics and CCIMI Seminar (note unusual time)
Computational and Systems Biology Seminar Series 2023 - 24 Research in the Goldman group: pandemic-scale phylogenetics, and optimizing new sequencing technologiesOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED {PF}^2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown ConstraintsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Counterfactual fairness (CANCELLED)
Computational and Systems Biology Seminar Series 2023 - 24 Does computational biology explain Fibonacci numbers in plants?Meetings are planned to take place in person. Seminars are principally for MPhil students. Please email the adminstrator should you wish to attend as a guest
MRC Biostatistics Unit Seminars BSU Seminar: 'Phases of research for statistical methods’This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZEtd--hrzItHtTIezm0p763Lsc95VI0Q254
Calls to F the Algorithm: Lessons from the 2020 Exam Debacle
Variational Bayesian inference for PDE based inverse problems
Computational and Systems Biology Seminar Series 2023 - 24 Computational image analysis for coeliac disease diagnosisOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
MRC Biostatistics Unit Seminars BSU Seminar: 'Detecting National, Regional and Global Changes in Terror Activity'This will be a free hybrid seminar. To register to attend virtually, please click on this link: https://us02web.zoom.us/meeting/register/tZMtf-iqrjoiGd3egbADJAIx6u477THr4Et9
Randomisation for Agnostic Selective Inference
Computational and Systems Biology Seminar Series 2023 - 24 Bioinformatic analysis of T-cell antigen receptors as a novel diagnostic test for coeliac disease/ gluten sensitivityOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
MRC Biostatistics Unit Seminars BSU Seminar: "Statistical approaches for differential analyses on transcriptomics data"This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZYkfuivpj0jEta0t6wA4iKlz8YOaojvNwdt
Seminars on Quantitative Biology @ CRUK Cambridge Institute Mapping somatic evolution with single-cell multi-omics
MRC Biostatistics Unit Seminars BSU Seminar: 'Double soft-thresholded model for multi-group scalar on vector-valued image regression'This will be a free hybrid seminar. To register to attend virtually, please click on this link: https://us02web.zoom.us/meeting/register/tZIucOmvrj4pHd3vnOm5ReIZ1wmXR9x-xC1z
Machine Learning Reading Group @ CUED Scalable simulation and inference in non-Gaussian stochastic PDEs
Scalable simulation and inference in non-Gaussian stochastic PDEs
Seminars on Quantitative Biology @ CRUK Cambridge Institute Interpretable Neural Networks for Computer Vision: Clinical Decisions that are Computer-Aided, not Automated
Computational and Systems Biology Seminar Series 2023 - 24 Motile behaviour and evolution of bacteria in antibiotic landscapesMeetings are planned to take place in person. Seminars are principally for MPhil students. Please email the adminstrator should you wish to attend as a guest
Seminars on Quantitative Biology @ CRUK Cambridge Institute On the Evolutionary History of Metastatic Cancer
Biostatistics: successes, challenges and opportunitiesUnusual starting time to accommodate a special tea event after the seminar
Measuring Alignment Between Perceptual Systems: An Analysis Through The Lens of Shared Invariances
Machine Learning Reading Group @ CUED Information Geometry — Natural Gradient DescentZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
MRC Biostatistics Unit Seminars BSU Seminar: “Using Electronic Health Records for Scientific Research: Promises and Perils”This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZctduyqrjgsEtYxJkz-fTWdzMmjL7qFrnAC
Gaussian processes, spectral analysis kernels and optimal transport
Simulation of random fields on Riemannian manifolds
Deep Reinforcement Learning for Multi-Agent Interaction
Computational and Systems Biology Seminar Series 2023 - 24 Knowledge Graphs for Precision OncologyMeetings are planned to take place in person. Seminars are principally for MPhil students. Please email the adminstrator should you wish to attend as a guest
Machine Learning Reading Group @ CUED Predicting generalization of ML models.Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
MRC Biostatistics Unit Seminars BSU Seminar: "The HealthGap study: Using linked administrative data to understand cardiovascular health of Indigenous people living in Victoria, Australia"This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZMpc-qtqD4iHtMcJUj5fiD4uVwRqMWP4XkI
Presenting Hawk-Eye’s Skeletrack: Our machine learning approach to building a real time skeletal tracking system for sports, and how we're using it to shape the future of fan engagement
Flexible Multiple Testing with All-Resolutions Inference
MRC Biostatistics Unit Seminars BSU Seminar: "Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis"This will be a free online seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZIqdu6gpjgrHd1yp38Mi3xQxgCg_5BOQThO
Computational and Systems Biology Seminar Series 2023 - 24 Transmissible cancers: when cancer cells become infectious agents?Our intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.
Computational and Systems Biology Seminar Series 2023 - 24 Transmissible cancers: when cancer cells become infectious agents?Our intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.
Machine Learning Reading Group @ CUED A tutorial on diffusion models
Local Independence Graphs
Computational and Systems Biology Seminar Series 2023 - 24 Principles of Protein Structural Ensembles DeterminationOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
MRC Biostatistics Unit Seminars BSU Seminar: "Making all pairwise comparisons in multi-arm clinical trials without control treatment"This will be a free hybrid seminar. To register to attend virtually, please click here:https://us02web.zoom.us/meeting/register/tZMlc-Grrj0vHNCSqPPY92EKkTJG5Xjm5yhY
Latent space models for multiplex networks with shared structure
Resampling methods for networks
Computational and Systems Biology Seminar Series 2023 - 24 Buffering genetic variation in populationsOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED Benchmarking and evaluation in contemporary machine learning
Seminars on Quantitative Biology @ CRUK Cambridge Institute TALK POSTPONED
Root and community inference on Markovian models of networks
Computational and Systems Biology Seminar Series 2023 - 24 A semantics knowledge commons for climate changeOur intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
MRC Biostatistics Unit Seminars Virtual BSU Seminar: "Variable Selection and Prioritization in Bayesian Machine Learning Methods"This will be a free virtual seminar. To register, please click here: https://us02web.zoom.us/meeting/register/tZIlc--rrT8qGNMFApbQ8304Icj6vW4CDcFo
Comparison of Markov chains via weak Poincaré inequalities, with application to pseudo-marginal MCMC
Computational and Systems Biology Seminar Series 2023 - 24 An introduction to counts-of-counts dataMeetings are planned to take place in person. Seminars are principally for MPhil students. Please email the adminstrator should you wish to attend as a guest
Machine Learning Reading Group @ CUED Advanced artificial agents intervene in the provision of reward
Long Story Short: Omitted Variable Bias in Causal Machine LearningStatistics and CCIMI seminar, followed by a drinks reception
Machine Learning Reading Group @ CUED Theory and Practice of Infinitely Wide Neural Networks - Guest Talk
MRC Biostatistics Unit Seminars BSU Seminar: "Genome-wide genetic models for association, heritability analyses and prediction"This will be a free hybrid seminar. To register to attend virtually, please click here: https://us02web.zoom.us/meeting/register/tZcpcuipqTMuGtP_pIJrVQDLQGbP3ndqAh-N
MRC Biostatistics Unit Seminars BSU Seminar: "Challenges in risk prediction using routinely collected health data"This will be a free online seminar. To register, click here: https://us02web.zoom.us/meeting/register/tZEkdOupqDspHtK1D30gXlBykdbIvLV8DMdH
Seminars on Quantitative Biology @ CRUK Cambridge Institute Combining multi-omics and biological knowledge to extract disease mechanismsPlease contact Ciara for further details
Machine Learning Reading Group @ CUED The unreasonable effectiveness of mathematics in large scale deep learning
MRC Biostatistics Unit Seminars BSU Seminar: "Design and Inference for Enrichment Trials with a Continuous Biomarker"This will be a hybrid seminar. If you would like to attend virtually, please register for free here - https://us02web.zoom.us/meeting/register/tZErduCprzwiEtQhPshDBMXcqhwlvdZtp_IP
Machine Learning Reading Group @ CUED The role of meta-learning for few-shot classification
Noise-Aware Differentially Private Synthetic Data
Machine Learning Reading Group @ CUED Benefits and Shortcomings of Assistance
Seminars on Quantitative Biology @ CRUK Cambridge Institute Deciphering Shared Intratumor Transcriptional Heterogeneity of Human Tumors
(CANCELLED) Stochastic Causal Programming for Bounding Treatment Effects
Estimating RSV seasonality from pandemic disruptions: a modelling study
Machine Learning Reading Group @ CUED Discussion: Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
MRC Biostatistics Unit Seminars BSU Seminar: “Optimising the discovery and development of gene silencing drugs with genetics and genomics”This will be a virtual seminar. To register for free, please click here: https://us02web.zoom.us/meeting/register/tZEudeGqrDgpH9w6XLGADT0ZoJB-ARc5EdD0
Machine Learning Reading Group @ CUED Discussion: Learning PAC-Bayes Priors for Probabilistic Neural Networks
A machine learning approach for causal structure estimation in high dimensions
Machine Learning Reading Group @ CUED Rethinking evaluation for machine learning models
Machine Learning Reading Group @ CUED Discussion: Bayesian Model Selection, the Marginal Likelihood, and Generalization
Seminars on Quantitative Biology @ CRUK Cambridge Institute The Genomic Evolution of Cancer
MRC Biostatistics Unit Seminars BSU Virtual Seminar: “Group Testing in Structured and Dynamic Networks”This will be a virtual seminar. To register for free, please click here: https://us02web.zoom.us/j/85960970204?pwd=dnVyWUFTSkM1bjJkWGMvc0ViLzA2Zz09
Computational and Systems Biology CCBI/C2D3 Computational Biology Annual Symposium 2022
Optimal prediction of Markov chains without mixing conditions
Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks
Machine Learning Reading Group @ CUED How close are these distributions? A brief introduction to statistical distances and divergences.
MRC Biostatistics Unit Seminars BSU Seminar: “Optimal design of First in Human trials via dynamic programming”This will be a hybrid seminar. If you would like to participate virtually, please register using this link: https://us02web.zoom.us/meeting/register/tZwvf-qgrTwrHNMDOZ_UZNN7h-wCbi90t9bA
Minimum L1-norm interpolators: Precise asymptotics and multiple descent
Machine Learning Reading Group @ CUED Bests of ICLR
MRC Biostatistics Unit Seminars BSU Seminar: "Sparse Hamiltonian Flows (or: Bayesian Coresets Without all the Fuss)"This will be a virtual seminar. FREE registration: https://us02web.zoom.us/meeting/register/tZ0rc-2vpz4qHNxdJ4Cm4hyLEn4BVOG5YcIt
Seminars on Quantitative Biology @ CRUK Cambridge Institute Drug response and tolerance in normal and cancer cells
Graph neural network approach for decentralized multi-robot coordination
Machine Learning Reading Group @ CUED Machine Learning with Quantum Computers
Machine Learning Reading Group @ CUED Autoregressive Diffusion Models
Seminars on Quantitative Biology @ CRUK Cambridge Institute Causality, Perturbations, Gene Regulation, and Drug Repurposing
Machine Learning Reading Group @ CUED An Overview of AI Alignment
Demystifying Deep Learning
Machine Learning Reading Group @ CUED The Bayesian Learning Rule for Adaptive AI
Machine Learning Reading Group @ CUED Introduction to differential privacy
Random Planted Forest: a directly interpretable tree ensemble
Computational and Systems Biology Seminar Series 2023 - 24 Transmissible cancers: when cancer cells become infectious agentsOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Seminars on Quantitative Biology @ CRUK Cambridge Institute Accelerating drug discovery with the power of microscopy & AI
Interpretable Model-Independent Detection of New Physics Signals
Computational and Systems Biology Seminar Series 2023 - 24 Mining for meaning in electronic health records; deep semantic normalisation for precision medicine and discovery.Our intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED Retrieval Augmented NLP
Computational and Systems Biology Seminar Series 2023 - 24 Seeing the unseen: informatic approaches to find, characterise and drug conserved regions of nucleic acid in RNA virusesOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED Circuits and Interpretability
Robust inference for intractable likelihood models using kernel divergences
MRC Biostatistics Unit Seminars Virtual BSU Seminar: "A flexible sensitivity analysis for sample selection bias"This will be a virtual seminar. To register for free, please click here: https://www.eventbrite.co.uk/e/bsu-seminar-dr-matt-tudball-tickets-251838374357
Computational and Systems Biology Seminar Series 2023 - 24 Drug Discovery in the era of large-scale genetics and genomics dataOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED Optimal Transport Metrics
Computational and Systems Biology Seminar Series 2023 - 24 Machine learning with biomedical ontologies: applications in precision healthOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Machine Learning Reading Group @ CUED Learned Compression
MRC Biostatistics Unit Seminars Virtual BSU Seminar: "Using Variational Bayes for fast inference in large longitudinal datasets”This will be a free virtual seminar. If you would like to attend, please register here: https://www.eventbrite.co.uk/e/bsu-virtual-seminar-dr-david-hughes-tickets-242962345917
Seminars on Quantitative Biology @ CRUK Cambridge Institute Genomic and digital pathology approaches to elucidate cancer dormancyHybrid seminar, please join at: https://zoom.us/j/97592722368?pwd=eXg4bHN3SEJKMm5hRXpCZUtncnVBdz09
Computational and Systems Biology Seminar Series 2023 - 24 Computational image analysis for coeliac disease diagnosisOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator
Two-sample testing of high-dimensional linear regression coefficients via complementary sketching
Computational and Systems Biology Seminar Series 2023 - 24 Bioinformatic analysis of T-cell antigen receptors as a novel diagnostic test for coeliac disease/ gluten sensitivityOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.
Machine Learning Reading Group @ CUED Diffusion and Score-based Generative Models
Machine Learning Reading Group @ CUED AI Safety
Machine Learning Reading Group @ CUED [Cancelled] Best of Neurips
Machine Learning Reading Group @ CUED Energy-Based Models
CANCELLED: Systematic inducement of sparsity
Computational and Systems Biology Seminar Series 2023 - 24 An Introduction to Machine Learning in AstraZenecaOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.
MRC Biostatistics Unit Seminars BSU virtual seminar: "Assessing batch effects and their implications in single cell RNA sequencing experiments"This will be a virtual seminar. If you would like to attend, please email alison.quenault@mrc-bsu.cam.ac.uk for the joining information.
Variable elimination and graph reduction: towards an efficient g-formula for causal DAGs
Computational and Systems Biology Seminar Series 2023 - 24 Principles of Protein Structural Ensembles DeterminationOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.
Machine Learning Reading Group @ CUED Deep Kernels
Seminars on Quantitative Biology @ CRUK Cambridge Institute MAGNATM, a novel single molecule platform to analyze genetic variation and epigenetic modifications on native RNA and DNA molecules
Random Graph Asymptotics for Treatment Effect Estimation under Network Interference
Computational and Systems Biology Seminar Series 2023 - 24 Elucidating inter-species interactions in microbial communities using metabolic modelsOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.
Machine Learning Reading Group @ CUED Mean Field Theory of NN (postponed to March 2022)
New Approaches for Inference on Optimal Treatment Regimes
Machine Learning Reading Group @ CUED Representation Learning: A Causal Perspective
Computational and Systems Biology Seminar Series 2023 - 24 A multidimensional perspective on immune-mediated diseases: using genetic feature engineering to study shared risk factors in a reduced dimension spaceOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.
Machine Learning Reading Group @ CUED Ethics, Integrity and Good Practice in ML
MRC Biostatistics Unit Seminars Virtual BSU seminar: "NanoSplicer: Accurate identification of splice junctions using Oxford Nanopore sequencing"This will be a online seminar. You can register for free at: https://www.eventbrite.co.uk/e/bsu-seminar-dr-heejung-shim-tickets-198278104147
MARS via LASSO
Computational and Systems Biology Seminar Series 2023 - 24 Buffering genetic variation in populationsOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.
Machine Learning Reading Group @ CUED Implicit Regularization in Deep Learning
MRC Biostatistics Unit Seminars Virtual BSU Seminar: “Methodological Advances in Risk Prediction"This will be a virtual seminar. If you would like to attend, please email alison.quenault@mrc-bsu.cam.ac.uk for the joining information.
Computational and Systems Biology Seminar Series 2023 - 24 Computational Oncology at AstraZenecaOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.
Machine Learning Reading Group @ CUED Planning Meeting + PI Presentations
Kernel Thinning and Stein Thinning
Computational and Systems Biology Seminar Series 2023 - 24 Understanding DNA Replication with Nanopore Sequencing, Deep Learning, and Mathematical ModellingOur intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.
Global testing for dependent Bernoullis
Seminars on Quantitative Biology @ CRUK Cambridge Institute Artificial intelligence for prediction of genetic alterations directly from histology imagesPlease email tania.smith@cruk.cam.ac.uk to request the Zoom registration link
Machine Learning Reading Group @ CUED Towards Neuro-Causality: Relating Graph Neural Networks to Structural Causal Models
MRC Biostatistics Unit Seminars BSU Virtual Seminar: “Estimating treatment effects from adaptive clinical trials”If you would like to join this virtual seminar, please email alison.quenault@mrc-bsu.cam.ac.uk for more information.
Machine Learning Reading Group @ CUED CBL Alumni Talk - Task-specific routing of information in neural circuits via structured noise by Cristina Savin
Machine Learning Reading Group @ CUED CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience by Jean-Pascal Pfister
Machine Learning Reading Group @ CUED CBL Alumni Talk: Finale Doshi-Velez
Machine Learning Reading Group @ CUED Pseudo-Points and State-Space Gaussian Processes
Machine Learning Reading Group @ CUED CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class.
Machine Learning Reading Group @ CUED The Statistical Finite Element Method
Distribution-free inference for regression: discrete, continuous, and in between
MRC Biostatistics Unit Seminars Virtual BSU Seminar: 'Confidence intervals for policy evaluation in adaptive experiments’If you would like to join this virtual seminar, please email alison.quenault@mrc-bsu.cam.ac.uk for more information.
Seminars on Quantitative Biology @ CRUK Cambridge Institute Engineering model-based systems to monitor and steer subclonal dynamics
Distribution-Free Nonparametric Inference Based on Optimal Transport: Efficiency Lower Bounds and Rank-Kernel Tests
MRC Biostatistics Unit Seminars Virtual Seminar: 'Probabilistic models of transcriptomic dysregulation in human genetic disease'If you would like to join this virtual seminar, please email alison.quenault@mrc-bsu.cam.ac.uk for more information.
Machine Learning Reading Group @ CUED CBL Alumni Talk - Our Power as Technical Designers
Correlated randomly growing graphs
MRC Biostatistics Unit Seminars Virtual Seminar: 'Adapting Real-World Experimentation To Balance Enhancement of User Experiences with Statistically Robust Scientific Discovery'If you would like to join this virtual seminar, please email alison.quenault@mrc-bsu.cam.ac.uk for more information.
Machine Learning Reading Group @ CUED Best of ICLR
Computational and Systems Biology CCBI Annual Symposium 2021
Machine Learning Reading Group @ CUED CBL Alumni Talk: Accurate Gaussian Processes and how they can help Deep Learning
Recent progress on the KLS conjecture and Eldan’s stochastic localization scheme
MRC Biostatistics Unit Seminars Virtual Seminar: 'Statistical Inference with M-Estimators on Bandit Data’If you would like to join this virtual seminar, please email alison.quenault@mrc-bsu.cam.ac.uk for more information.
Machine Learning Reading Group @ CUED An Introduction to PAC-Bayes
Machine Learning Reading Group @ CUED Automated Augmented Conjugate Inference for Gaussian Processes
Seminars on Quantitative Biology @ CRUK Cambridge Institute Determining the age of Barrett’s esophagus using stochastic multiscale modeling and epigenetic clocks
Machine Learning Reading Group @ CUED CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning
Machine Learning Reading Group @ CUED Online Learning and Online Convex Optimisation
Machine Learning Reading Group @ CUED Monte Carlo Gradient Estimation in Machine Learning
MRC Biostatistics Unit Seminars Virtual Seminar: 'Bayesian pyramids: Identifying interpretable deep structure underlying high-dimensional data’If you would like to join this virtual seminar, please email alison.quenault@mrc-bsu.cam.ac.uk for more information.
Machine Learning Reading Group @ CUED Secondmind's research activities to make Gaussian Processes industry proof
Machine Learning Reading Group @ CUED Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
Machine Learning Reading Group @ CUED Gaussian Processes I have Known
Machine Learning Reading Group @ CUED Causal Representation Learning
Functional Models for Time Varying Random Objects
Computational and Systems Biology The genomes of transmissible cancers
Machine Learning Reading Group @ CUED Long-Range Transformers
Seminar Cancelled
Machine Learning Reading Group @ CUED Inference in Stochastic Processes
MRC Biostatistics Unit Seminars BSU Virtual Seminar: 'A Simulation-Free Approach To Assessing the Performance of the Continual Reassessment Method'If you would like to join this virtual seminar, please email alison.quenault@mrc-bsu.cam.ac.uk for more information.
Optimal rates for independence testing via U-statistic permutation tests
Computational and Systems Biology Regulation of gene expression and genome organisation
Machine Learning Reading Group @ CUED Fairness in AI
Machine Learning Reading Group @ CUED Variational Bayes as Surrogate Regression
Seminars on Quantitative Biology @ CRUK Cambridge Institute Visualizing Spatial Single-Cell Data with VitesscePlease email anna.toporska@cruk.cam.ac.uk by Friday 5th February to receive a ZOOM registration link
Distribution-Free, Risk-Controlling Prediction Sets
Computational and Systems Biology Computational Biology in Drug Discovery
Computational and Systems Biology Computational image analysis for coeliac disease diagnosis
A precise high-dimensional asymptotic theory for Adaboost
Computational and Systems Biology Bioinformatic analysis of T-cell antigen receptors as a novel diagnostic test for coeliac disease/ gluten sensitivity
Machine Learning Reading Group @ CUED Bayesian optimization / Gaussian Process Bandits
Machine Learning Reading Group @ CUED Meta-reinforcement learning
Machine Learning Reading Group @ CUED Best of NeurIPS
MRC Biostatistics Unit Seminars Virtual Seminar: ‘The DURATIONS design: a practical trial design to optimise treatment duration’If you would like to join this virtual seminar, please email: research_admin@mrc-bsu.cam.ac.uk for more information.
Seminars on Quantitative Biology @ CRUK Cambridge Institute Deep learning in medical imaging - successes, pitfalls and challengesPlease email anna.toporska@cruk.cam.ac.uk by Friday 11th December to receive a ZOOM registration link
MRC Biostatistics Unit Seminars Virtual Seminar: 'PROGRESS in sample size calculations for clinical prediction model research'If you would like to join this virtual seminar, please email: research_admin@mrc-bsu.cam.ac.uk for more information.
Machine Learning Reading Group @ CUED Neural Processes
Generalized Kernel Two-Sample Tests
Computational and Systems Biology AstraZeneca Oncology Bioinformatics case studies and the skill sets we value
Machine Learning Reading Group @ CUED Large-scale sequential experimentation
MRC Biostatistics Unit Seminars Virtual Seminar: ‘Score driven modeling of spatio-temporal data’If you would like to join this virtual seminar, please email: research_admin@mrc-bsu.cam.ac.uk for more information.
Computational and Systems Biology Computational Morphodynamics - a quantitative description of multicellular development
Machine Learning Reading Group @ CUED Symmetries in Reinforcement Learning
Provable representation learning in deep learning
Computational and Systems Biology Can machines understand the scientific literature?
Machine Learning Reading Group @ CUED Gradient-based Hyperparameter Optimisation
MRC Biostatistics Unit Seminars Virtual Seminar: 'Using auxiliary variables in mediation analysis to address unmeasured confounding'If you would like to join this virtual seminar, please email: research_admin@mrc-bsu.cam.ac.uk for more information.
Seminars on Quantitative Biology @ CRUK Cambridge Institute Computational analysis of cancer genomesPlease email anna.toporska@cruk.cam.ac.uk by Friday 6th November to receive a ZOOM registration link
Minimax estimation of smooth densities in Wasserstein distance
Computational and Systems Biology Computational Approaches to Drug Design and Computational Toxicology
Machine Learning Reading Group @ CUED Best Papers from ICML 2020
Model selection for estimation of causal parameters
Computational and Systems Biology A multi-'omics graph convolutional network analysis for prediction of cancer survival
Seminars on Quantitative Biology @ CRUK Cambridge Institute Cancer Genetics Through the Lens of Mutational Signatures and the Two-Hit Hypothesis.Please email anna.toporska@cruk.cam.ac.uk by Friday 16th October to receive a ZOOM registration link
Computational and Systems Biology Discovering the gene networks that regulate hunger
MRC Biostatistics Unit Seminars Virtual BSU Seminar: 'Stochastic treatment interventions in causal survival analysis'If you would like to join this virtual seminar, please email alison.quenault@mrc-bsu.cam.ac.uk for more information.
Seminars on Quantitative Biology @ CRUK Cambridge Institute Characterizing and forecasting tumour evolutionPlease email anna.toporska@cruk.cam.ac.uk by Friday 25 September to receive a ZOOM registration link
MRC Biostatistics Unit Seminars Virtual BSU Seminar: 'Assumption-lean inference for generalised linear model parameters'If you would like to join this virtual seminar, please email alison.quenault@mrc-bsu.cam.ac.uk for more information.
Efficient and Structured Uncertainty: Challenges and Opportunities
Seminars on Quantitative Biology @ CRUK Cambridge Institute Understanding regulatory systems and mechanisms of genetic interactions: from yeast to pediatric cancerPlease email anna.toporska@cruk.cam.ac.uk to receive a ZOOM registration link
Machine Learning Reading Group @ CUED Active Learning
Machine Learning Reading Group @ CUED Recent advances in the theory and applications of VAEs
MRC Biostatistics Unit Seminars Virtual BSU Seminar: 'Parameterizing Causal Marginal Models'If you would like to join this virtual seminar, please email: research_admin@mrc-bsu.cam.ac.uk for more information.
Seminars on Quantitative Biology @ CRUK Cambridge Institute Statistical challenges posed by heterogeneous data from immunology and microbiologyPlease email anna.toporska@cruk.cam.ac.uk by Friday 12th June to receive a ZOOM registration link
Seminars on Quantitative Biology @ CRUK Cambridge Institute “Focus on the Individual; The importance of chromosome-specific biology in generating aneuploidy patterns in cancer”Please email anna.toporska@cruk.cam.ac.uk to receive a ZOOM registration link
Implicit Regularization for Optimal Sparse Recovery
Improved Nonparametric Empirical Bayes Estimation using Transfer Learning
MRC Biostatistics Unit Seminars Virtual Seminar: “Delayed-acceptance Sequential Monte Carlo”If you would like to join this virtual seminar, please email: research_admin@mrc-bsu.cam.ac.uk for more information.
Network Representation Using Graph Root Distributions
Neyman-Pearson Classification
Machine Learning Reading Group @ CUED Best of ICLR 2020
Seminars on Quantitative Biology @ CRUK Cambridge Institute CANCELLED
Spillover Effects in Cluster Randomized Trials with Noncompliance
Machine Learning Reading Group @ CUED Differentiable Planning
Langevin Monte Carlo for Degenerately Convex Potentials
Machine Learning Reading Group @ CUED Recent Developments in Bayesian Deep Learning
MRC Biostatistics Unit Seminars Virtual Seminar: “Including expert knowledge in genomic selection through intuitive tree-based joint priors”
Machine Learning Reading Group @ CUED Strategic Classification
Machine Learning Reading Group @ CUED Machine Learning on Sets
Machine Learning Reading Group @ CUED Boltzmann Generators and Stochastic Normalizing Flows
Seminars on Quantitative Biology @ CRUK Cambridge Institute CANCELLED
Machine Learning Reading Group @ CUED World Models
Seminars on Quantitative Biology @ CRUK Cambridge Institute Statistical challenges posed by heterogeneous data from immunology and microbiology- CANCELLED
Machine Learning Reading Group @ CUED Federated Learning
Seminars on Quantitative Biology @ CRUK Cambridge Institute Visual Exploration of Longitudinal Oncology Data - CANCELLED
Network change point detection
Game Playing Meets Game Theory: Strategic Learning from Simulated Play
MRC Biostatistics Unit Seminars “Squeezing the most out of ridge”
Selection bias, missing data and causal inference
Machine Learning Reading Group @ CUED Self-Supervised Representation Learning
Seminars on Quantitative Biology @ CRUK Cambridge Institute Dissecting context dependent cancer signalling processes using CRISPR-based approaches
The concept of separable effects for causal mediation and competing risks analyses
Machine Learning Reading Group @ CUED Kernel Mean Embeddings
Seminars on Quantitative Biology @ CRUK Cambridge Institute Image-based quantitative morphology with geometrical models
Posterior contraction rates for potentially nonlinear inverse problems
Machine Learning Reading Group @ CUED Neural Tangent Kernel
On Statistical Learning for Individualized Decision Making with Complex Data
Convergence of Gaussian process emulators with estimated hyper-parameters and applications in Bayesian inverse problems
Optimal Transport: Fast Probabilistic Approximation with Exact Solvers
Robust Deep Learning Under Distribution Shift
Approximate Cross Validation for Large Data and High Dimensions
Machine Learning Reading Group @ CUED Scalable Gaussian Processes
On the convergence of the Hamiltonian Monte Carlo algorithm and other irreversible MCMC methods
Machine Learning Reading Group @ CUED Probabilistic Programming
Optimal Transport for Machine Learning
Machine Learning Reading Group @ CUED Neural Attention
Multiscale Analysis of Bayesian CART
Machine Learning Reading Group @ CUED Equivariance and Symmetries in CNNs
Models and inference for temporal Gaussian processes
Identifying Cointegration by Eigenanalysis
Machine Learning Reading Group @ CUED Hyperparameter Optimisation
Classification with unknown class conditional label noise on non-compact feature spaces
Machine Learning Reading Group @ CUED Meta-Learning or "Learning To Learn"
Reinforcement Learning at Huawei: Robustness, Safety, and Efficiency
Constructing temporal latent spaces: Representation learning for clustering and imputation on time series
On Estimation of Unnormalized Density Models
Explaining Neural Networks: Post-hoc and Natural Language Explanations
Machine Learning Reading Group @ CUED Hamiltonian Monte Carlo for Hierarchical Models
Asymptotic normality of certain transformation averages
Distributed Statistics à la Economics
Simplicity and Complexity of Belief-Propagation
On the robustness of gradient-based MCMC algorithms
Learning-Algorithms from Bayesian Principles
Rotation Invariant Householder Parameterization for Bayesian PCA
Two Approximate Sampling Methods for Bayesian Deep Learning
Semi-Unsupervised Learning with Deep Generative Models / Disentangling Improves VAEs' Robustness to Adversarial Attacks
Efficiency and Transferability of Neural Networks
Learning via Data Compression: Bayesian Coresets and Sparse Variational Inference
Regularized linear autoencoders, the Morse theory of loss, and backprop in the brain
Deep Neural Networks: A Nonparametric Bayesian Approach with Local Competition
Information Consumption on Social Media: Efficiency, Trust, and Divisiveness
Geometrizing rates of convergence under local differential privacy
Recent Developments in the Study of Single-Index Type Models
Nonparametric maximum likelihood methods for binary response models with random coefficients
Communication in the presence of sparsity
MAP estimators and posterior consistency for Bayesian inverse problems with exponential priors
On distributed Bayesian computation
Why Do We Need New Hardware & Software for Machine Intelligence?
Machine Learning Reading Group @ CUED Particle MCMC
Computational and Systems Biology CCBI Annual Symposium 2019
On the Consistency of Supervised Learning with Missing Values
[Special Statslab Seminar] Scalable methods for machine learning optimisation
[Special Statslab Seminar] Scalable stochastic optimization and large-scale data
Machine Learning Reading Group @ CUED Stochastic Differential Equations
Nonparametric Generative Modeling via Optimal Transport and Diffusions with Provable Guarantees
Machine Learning Reading Group @ CUED Generalisation in neural networks
Nuisance parameters
Machine Learning Reading Group @ CUED An Overview of Normalizing Flows
MRC Biostatistics Unit Seminars BSU Seminar: “Building Representative Matched Samples with Multi-valued Treatments in Large Observational Studies”
MRC Biostatistics Unit Seminars BSU Seminar: "Information theory in dose-finding trials"
NeVAE: A Deep Generative Model for Molecular Graphs
Global model explainability via aggregation
Machine Learning Reading Group @ CUED Sampling as Optimization
Robust machine learning for causal inference in health care
Seminars on Quantitative Biology @ CRUK Cambridge Institute A systems biology approach to identify perturbed processes driving cancer
The K-FAC method for neural network optimization
Computational and Systems Biology Towards the high-level sequence code of gene regulation
Machine Learning Reading Group @ CUED Implicit Variational Inference
Seminars on Quantitative Biology @ CRUK Cambridge Institute Regulatory Genomics: From Basic Biology to Disease Mechanisms and Ageing
Explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems
Computational and Systems Biology Statistical Approaches to Personalised Medicine in Breast Cancer
Machine Learning Reading Group @ CUED Continual Learning: Definitions, Benchmarks, and Approaches
Analysis of Networks via the Sparse β-Model
Computational and Systems Biology Chemical and Biological Data - from Compound Selection to Mode of Action Analysis (and Back Again)
Machine Learning Reading Group @ CUED Causal Inference and Causal Reinforcement Learning
MRC Biostatistics Unit Seminars BSU Seminar: “Optimal Feature Selection using model-based Deep Reinforcement Learning”
High-dimensional sign tests for the direction of a skewed single-spiked distribution
MRC Biostatistics Unit Seminars BSU Seminar: “Sample size considerations for the design clinical trials – quantifying the target difference and the target no-difference”
Computational and Systems Biology Ribosome profiling and virus infection
Machine Learning Reading Group @ CUED Generative models for few-shot prediction tasks
Seminars on Quantitative Biology @ CRUK Cambridge Institute Learning Engines for Healthcare: Using Machine Learning to Transform Clinical Practice and Discovery
On the fundamental understanding of distributed computation
Online Meta-Learning
Computational and Systems Biology Prioritization of mutations in coding and noncoding regions of the human genome using machine learning approaches
Machine Learning Reading Group @ CUED Logical Uncertainty
Post-selection confidence intervals and confidence curves
Model selection with Lasso-Zero and a robust extension with an application to the problem of missing covariates
High-dimensional dynamics of generalization error in neural networks: implications for experience replay
Gauge Equivariant Convolutional Networks on Manifolds
Computational and Systems Biology Replacing pathologists with next generation diagnostics: use of artificial intelligence to analyse image and DNA sequencing data
MRC Biostatistics Unit Seminars BSU Seminar: "Probabilistic approaches for optimal sequential feature acquisition"
Machine Learning Reading Group @ CUED Stein Discrepancy
Geometric MCMC for infinite-dimensional Bayesian Inverse Problems
Observation and Intervention Incentives in Causal Influence Diagrams: Towards an Understanding of Powerful Machine Learning Systems
Computational and Systems Biology Computational approaches to Immuno-Oncology drug development
MRC Biostatistics Unit Seminars BSU Seminar: “How to obtain valid tests and confidence intervals for treatment effects after confounder selection”
On the hypocoercivity of some PDMP-Monte Carlo algorithms
Fairness for Sequential Decision Making Algorithms
Gaussian processes for inferring latent functions in complex data models
Seminars on Quantitative Biology @ CRUK Cambridge Institute Cell-of-origin of prostate cancer and clinical heterogeneity
MRC Biostatistics Unit Seminars BSU Seminar: “Estimation in two-stage adaptive threshold enrichment clinical trials”
Computational and Systems Biology Mathematics for mechanistic biology and drug discovery
Machine Learning Reading Group @ CUED Neural Ordinary Differential Equations
Posterior concentration for Bayesian regression trees and their ensembles
Computational and Systems Biology Mathematical modelling of rapid evolutionary processes
Machine Learning Reading Group @ CUED Natural gradient in deep neural networks
Seminars on Quantitative Biology @ CRUK Cambridge Institute Non invasive detection of tissue specific cell death via methylation patterns of circulating DNA
Concentration of tempered posteriors and of their variational approximations
Computational and Systems Biology How space constrains evolution: lessons from bacteria and bacteriophage
Machine Learning Reading Group @ CUED Graph Neural Networks
Seminars on Quantitative Biology @ CRUK Cambridge Institute Cancer Genome Evolution and Immune EscapeYou must email Anna.Toporska@cruk.cam.ac.uk prior to the talk if you are not based in CRUK CI and you wish to attend.
Phase transitions on community detectability for various types of stochastic block models
MRC Biostatistics Unit Seminars BSU Seminar: “Unsupervised substructure discovery in mass spectrometry metabolomics data”
Computational and Systems Biology Discovering the gene networks that regulate hunger
Machine Learning Reading Group @ CUED Defending Against Adversarial Attacks
Towards a better understanding of early stopping for boosting algorithms
Computational and Systems Biology Personal Genomics
Machine Learning Reading Group @ CUED Reinforcement Learning and Control as Probabilistic Inference
Bayesian regression models for complex spatially or serially correlated functional data
Computational and Systems Biology Mapping the sub-cellular proteome
Nonparametric Bayes for support boundary recovery
Computational and Systems Biology Data-driven approaches to drug target identification
Uniform rates of Glivenko-Cantelli convergence and their use in Bayesian inference
Heteroskedastic PCA: Algorithm, Optimality, and Applications
Causal Inference for Treatment Effects: A Theory and Associated Learning Algorithms
When Statistics Meets Computing
Computational and Systems Biology Exploiting stochastic fluctuations to understand cellular processes and infer biochemical kinetics
Seminars on Quantitative Biology @ CRUK Cambridge Institute Exploring the role of ion channels in cancer using executable modelling
MRC Biostatistics Unit Seminars BSU Seminar: “Statistical learning for drug screening in personalized cancer therapy”
Seminars on Quantitative Biology @ CRUK Cambridge Institute Gone fishing. Machine-learning guided discovery from public data.
Seminars on Quantitative Biology @ CRUK Cambridge Institute Dynamics of HIV Intra-Patient Drug Resistance Evolution through Space and Time
Seminars on Quantitative Biology @ CRUK Cambridge Institute Patient-past based precision medicine: multi-morbidities in a life-course perspective
Interpretability - the myth, questions, and some answers
Constraint-based causal Discovery from NOnstationary/heterogeneous Data (CD-NOD)
MRC Biostatistics Unit Seminars BSU Seminar: "Using Gaussian processes to model branching dynamics from single-cell data" (provisional)
Fast yet Simple Natural-Gradient Variational Inference in Complex Models
Variance in Policy Gradient methods and Learning Sequential Latent Variable Models
Structured deep models: Deep learning on graphs and beyond
Sketchy decisions: Low-rank convex matrix optimization with optimal storage
MRC Biostatistics Unit Seminars BSU Seminar: “Biomarker discovery through statistical signal processing and Bayesian modelling on large-scale quantitative proteomics data”
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
What is the dimension of a stochastic process?
MRC Biostatistics Unit Seminars BSU Seminar: "Mass spectrometry-based proteomics: challenges and opportunities"
MRC Biostatistics Unit Seminars BSU Seminar: "Optimal bootstrapping with dependent data"
Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features
Please see above for contact details for this list. |
Other listsRCEAL Tuesday Colloquia Druggability and the Genome (EBI, Hinxton, 4th February 2008) Postgraduate Travel GroupOther talksThe role of myosin VI in connexin 43 gap junction accretion Feeding your genes: The impact of nitrogen availability on gene and genome sequence evolution Stakeholder perceptions across scales of governance: areas of controversy and consensus related to the Indonesian peatland fires Climate and Sustainable Development Finance for Industrial Sustainability in Developing Countries The Design of Resilient Engineering Infrastructure Systems with Bayesian Networks BOOK LAUNCH: Studying Arctic Fields: Cultures, Practices, and Environmental Sciences Black and British Migration Café Synthetique: Graduate Talks! 'The Japanese Mingei Movement and the art of Katazome' Protein Folding, Evolution and Interactions Symposium Microtubule Modulation of Myocyte Mechanics Immigration policy-making beyond 'Western liberal democracies' |
Bruno Mlodozeniec, Julien Horwood, Runa Eschenhagen.
Wednesday 24 April 2024, 11:00-12:30