Elre Oldewage

Name:	Elre Oldewage
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	Tue Jan 17 15:17:24 +0000 2023

Public lists managed by Elre Oldewage

Talks given by Elre Oldewage

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• Fairness in AI
• Kernel Mean Embeddings
• Neural Attention

Talks organised by Elre Oldewage

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Elre Oldewage actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Benchmarking and evaluation in contemporary machine learning
• Theory and Practice of Infinitely Wide Neural Networks - Guest Talk
• The role of meta-learning for few-shot classification
• Benefits and Shortcomings of Assistance
• Discussion: Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
• How close are these distributions? A brief introduction to statistical distances and divergences.
• Autoregressive Diffusion Models
• An Overview of AI Alignment
• The Bayesian Learning Rule for Adaptive AI
• Introduction to differential privacy
• Retrieval Augmented NLP
• Circuits and Interpretability
• Optimal Transport Metrics
• Learned Compression
• Diffusion and Score-based Generative Models
• AI Safety
• Energy-Based Models
• Deep Kernels
• Mean Field Theory of NN (postponed to March 2022)
• Ethics, Integrity and Good Practice in ML
• Implicit Regularization in Deep Learning
• Planning Meeting + PI Presentations
• CBL Alumni Talk - Task-specific routing of information in neural circuits via structured noise by Cristina Savin
• CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience by Jean-Pascal Pfister
• CBL Alumni Talk: Finale Doshi-Velez
• Pseudo-Points and State-Space Gaussian Processes
• CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class.
• The Statistical Finite Element Method
• CBL Alumni Talk - Our Power as Technical Designers
• Best of ICLR
• CBL Alumni Talk: Accurate Gaussian Processes and how they can help Deep Learning
• An Introduction to PAC-Bayes
• Automated Augmented Conjugate Inference for Gaussian Processes
• CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning
• Online Learning and Online Convex Optimisation
• Monte Carlo Gradient Estimation in Machine Learning
• Secondmind's research activities to make Gaussian Processes industry proof
• Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
• Gaussian Processes I have Known
• Causal Representation Learning
• Long-Range Transformers
• Inference in Stochastic Processes
• Fairness in AI
• Variational Bayes as Surrogate Regression
• Bayesian optimization / Gaussian Process Bandits
• Meta-reinforcement learning
• Best of NeurIPS
• Neural Processes
• Large-scale sequential experimentation
• Symmetries in Reinforcement Learning
• Gradient-based Hyperparameter Optimisation
• Best Papers from ICML 2020