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Isaac Newton Institute Seminar Series
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The Isaac Newton Institute for Mathematical Sciences is a national and international visitor research institute. It runs research programmes on selected themes in mathematics and the mathematical sciences with applications over a wide range of science and technology. You can receive regular information by email on Institute seminars and events by subscribing to our mailing lists: follow the instructions at http://www.newton.cam.ac.uk/mailing.html. There are lists for each individual Institute programme. If you have a question about this list, please contact: Jonathan H N Chin; Chie Sibley Obata; Kathryn de Ridder; Clare Merritt; info@newton.ac.uk; Vincenzo Abete; ss917; ad864. If you have a question about a specific talk, click on that talk to find its organiser. 82 upcoming talks and 8414 talks in the archive: show first 500. A superpopulation treatment to case-control data analysisSTS - Statistical scalability
A superpopulation treatment to case-control data analysisSTS - Statistical scalability
A superpopulation treatment to case-control data analysisSTS - Statistical scalability
UQ: does it require efficient linear algebra?UNQ - Uncertainty quantification for complex systems: theory and methodologies
UQ: does it require efficient linear algebra?UNQ - Uncertainty quantification for complex systems: theory and methodologies
UQ: does it require efficient linear algebra?UNQ - Uncertainty quantification for complex systems: theory and methodologies
GOAL-ORIENTED ERROR ESTIMATION FOR PARAMETER-DEPENDENT NONLINEAR PROBLEMS, APPLICATION TO SENSITIVITY ANALYSISUNQ - Uncertainty quantification for complex systems: theory and methodologies
GOAL-ORIENTED ERROR ESTIMATION FOR PARAMETER-DEPENDENT NONLINEAR PROBLEMS, APPLICATION TO SENSITIVITY ANALYSISUNQ - Uncertainty quantification for complex systems: theory and methodologies
GOAL-ORIENTED ERROR ESTIMATION FOR PARAMETER-DEPENDENT NONLINEAR PROBLEMS, APPLICATION TO SENSITIVITY ANALYSISUNQ - Uncertainty quantification for complex systems: theory and methodologies
MSG Design of Experiments Seminar Series: The war against bias: experimental design for big dataUNQ - Uncertainty quantification for complex systems: theory and methodologies
MSG Design of Experiments Seminar Series: The war against bias: experimental design for big dataUNQ - Uncertainty quantification for complex systems: theory and methodologies
MSG Design of Experiments Seminar Series: The war against bias: experimental design for big dataUNQ - Uncertainty quantification for complex systems: theory and methodologies
MSG Design of Experiments Seminar Series: Simulation-based Bayesian experimental design for computationally intensive modelsUNQ - Uncertainty quantification for complex systems: theory and methodologies
MSG Design of Experiments Seminar Series: Simulation-based Bayesian experimental design for computationally intensive modelsUNQ - Uncertainty quantification for complex systems: theory and methodologies
MSG Design of Experiments Seminar Series: Simulation-based Bayesian experimental design for computationally intensive modelsUNQ - Uncertainty quantification for complex systems: theory and methodologies
MSG Design of Experiments Seminar Series: Mutual Information for Computer Experiments (MICE): design, optimization, and data assimilation: applications to tsunami hazardUNQ - Uncertainty quantification for complex systems: theory and methodologies
MSG Design of Experiments Seminar Series: Mutual Information for Computer Experiments (MICE): design, optimization, and data assimilation: applications to tsunami hazardUNQ - Uncertainty quantification for complex systems: theory and methodologies
MSG Design of Experiments Seminar Series: Mutual Information for Computer Experiments (MICE): design, optimization, and data assimilation: applications to tsunami hazardUNQ - Uncertainty quantification for complex systems: theory and methodologies
Welcome and IntroductionOFBW40 - Statistical Scalability for Streaming Data
Welcome and IntroductionOFBW40 - Statistical Scalability for Streaming Data
Novel Methods for Streaming DataOFBW40 - Statistical Scalability for Streaming Data
Novel Methods for Streaming DataOFBW40 - Statistical Scalability for Streaming Data
Causality and Streaming DataOFBW40 - Statistical Scalability for Streaming Data
Causality and Streaming DataOFBW40 - Statistical Scalability for Streaming Data
Concentration of the empirical contours of Tukey’s halfspace depthSTS - Statistical scalability
Compressive Sensing for Seismic DataOFBW40 - Statistical Scalability for Streaming Data
Compressive Sensing for Seismic DataOFBW40 - Statistical Scalability for Streaming Data
Real-time Geological Data - Geological Challenges in Streaming DataOFBW40 - Statistical Scalability for Streaming Data
Real-time Monitoring of the Underground for Researchers, Industry and the PublicOFBW40 - Statistical Scalability for Streaming Data
Future Challenges for Data Analytics for Energy ManagementOFBW40 - Statistical Scalability for Streaming Data
Future Challenges for Data Analytics for Energy ManagementOFBW40 - Statistical Scalability for Streaming Data
Weather Forecast Improvements at the UK Met Office: Responding to the Big Data ChallengeOFBW40 - Statistical Scalability for Streaming Data
Weather Forecast Improvements at the UK Met Office: Responding to the Big Data ChallengeOFBW40 - Statistical Scalability for Streaming Data
Questions and DiscussionsOFBW40 - Statistical Scalability for Streaming Data
Questions and DiscussionsOFBW40 - Statistical Scalability for Streaming Data
Streaming Data in Mobile CommunicationsOFBW40 - Statistical Scalability for Streaming Data
Modelling of Mobile Sensor ApplicationsOFBW40 - Statistical Scalability for Streaming Data
5G Grand Research ChallengesOFBW40 - Statistical Scalability for Streaming Data
5G Grand Research ChallengesOFBW40 - Statistical Scalability for Streaming Data
Questions, Discussions and Wrap-upOFBW40 - Statistical Scalability for Streaming Data
Questions, Discussions and Wrap-upOFBW40 - Statistical Scalability for Streaming Data
Concentration of the empirical contours of Tukey’s halfspace depthSTS - Statistical scalability
Rothschild Lecture: Causality, Invariance and RobustnessSTS - Statistical scalability
Rothschild Lecture: Causality, Invariance and RobustnessSTS - Statistical scalability
tbaSTSW04 - Future challenges in statistical scalability
Eigenstructure in high dimensional random effects modelsSTSW04 - Future challenges in statistical scalability
Managing Model Risk in BankingUNQ - Uncertainty quantification for complex systems: theory and methodologies
tbaSTSW04 - Future challenges in statistical scalability
tbaSTSW04 - Future challenges in statistical scalability
On applications of Empirical Bayes approaches to the Normal Means problemSTSW04 - Future challenges in statistical scalability
On applications of Empirical Bayes approaches to the Normal Means problemSTSW04 - Future challenges in statistical scalability
tbaSTSW04 - Future challenges in statistical scalability
tbaSTSW04 - Future challenges in statistical scalability
tbaSTSW04 - Future challenges in statistical scalability
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topicsSTSW04 - Future challenges in statistical scalability
Reducibility and Computational Lower Bounds for Problems with Planted Sparse StructureSTSW04 - Future challenges in statistical scalability
tbaSTSW04 - Future challenges in statistical scalability
tbaSTSW04 - Future challenges in statistical scalability
Two network scale challenges:Constructing and fitting hierarchical block models and fitting large block models using the mean field methodSTSW04 - Future challenges in statistical scalability
Adaptive estimation of the rank of the regression coefficient matrixSTSW04 - Future challenges in statistical scalability
tbaSTSW04 - Future challenges in statistical scalability
An Approximate Shapley-Folkman Theorem.STSW04 - Future challenges in statistical scalability
Selection and Clustering of Correlated variables using OWL/GrOWL regularizersSTSW04 - Future challenges in statistical scalability
Matrix completion in network analysisSTSW04 - Future challenges in statistical scalability
tbaSTSW04 - Future challenges in statistical scalability
Representation, optimization and generalization properties of deep neural networksSTSW04 - Future challenges in statistical scalability
Candidates vs. Noises Estimation for Large Multi-Class Classification ProblemSTSW04 - Future challenges in statistical scalability
Estimating a covariance function from fragments of functional dataSTSW04 - Future challenges in statistical scalability
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple PassesSTSW04 - Future challenges in statistical scalability
Monte Carlo adjusted profile likelihood, with applications to spatiotemporal and phylodynamic inference.STSW04 - Future challenges in statistical scalability
Asymptotics of Eigenvectors and Eigenvalues for Large Structured Random MatricesSTSW04 - Future challenges in statistical scalability
Are there needles in a (moving) haystack? Adaptive sensing for detection and estimation of static and dynamically evolving signalsSTSW04 - Future challenges in statistical scalability
Robust Estimation via Robust Gradient EstimationSTSW04 - Future challenges in statistical scalability
tbaSTSW04 - Future challenges in statistical scalability
Group invariance and computational sufficiencySTSW04 - Future challenges in statistical scalability
Data perturbation for data scienceSTSW04 - Future challenges in statistical scalability
Deconfounding using Spectral TransformationsSTSW04 - Future challenges in statistical scalability
The model-independent theory of (∞,1)-categories (1)HHHW01 - Higher structures in homotopy theory
Higher categories and algebraic K-theory (1)HHHW01 - Higher structures in homotopy theory
Higher Segal spaces (1)HHHW01 - Higher structures in homotopy theory
Factorization homology (1)HHHW01 - Higher structures in homotopy theory
tbaHHHW01 - Higher structures in homotopy theory
Please see above for contact details for this list. |
Other listsMillennium Mathematics Project (http://maths.org) Ancient India and Iran Trust Tackling Obesity with Big Data: methods & models - One Day SeminarOther talksThe microenvironment in the myeloid malignancies Reforming the Chinese Electricity System: A Review of the Market Reform Pilot in Guangdong Regulation of progenitor cells in adult lung and in lung cancer Cambridge - Corporate Finance Theory Symposium September 2018 - Day 2 Tunable Functional Magnetic Skyrmions at Room Temperature Oncological Imaging: radionuclide techniques |
Yanyuan Ma (Pennsylvania State University).
Tuesday 19 June 2018, 11:00-12:00