Events List
Identifiable and interpretable nonparametric factor analysis
-Speaker: Speaker: Maoran Xu, Postdoctoral Associate, Department of Statistical Science, Duke University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Learning-Rate-Free Methods for Scalable Bayesian Inference
-Speaker: Speaker: Louis Sharrock, Senior Research Associate in Statistical Machine Learning, Department of Mathematics and Statistics, Lancaster University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
The design and analysis of annealing algorithms for sampling and generative modelling
-Speaker: Speaker: Saifuddin Syed, Florence Nightingale Bicentenary Research Fellow, Department of Statistics, University of Oxford
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Advancements in Probabilistic Circuits for Tractable Probabilistic Inference
-Speaker: Speaker: Martin Trapp, Postdoctoral Researcher, Department of Computer Science, Aalto University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
-Speaker: Speaker: Louis Sharrock, Senior Research Associate in Statistical Machine Learning, Lancaster University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Inference with joint models under misspecified random effects distributions
-Speaker: Speaker: Sanjoy K. Sinha, Professor, School of Mathematics and Statistics, Carleton University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Approximate Marginal Likelihood Inference in Mixed Models for Grouped Data
-Speaker: Speaker: Alex Stringer, Assistant Professor, Department of Statistics and Actuarial Science, University of Waterloo
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Phylogenetic analysis: expectations, reality and bridging the gap between the two
-Speaker: Speaker: Julija Pecerska, Postdoctoral researcher, Zurich University of Applied Sciences
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Risk Prediction for Premature Menopause in Childhood Cancer Survivors
-Speaker: Speaker: Yan Yuan, Associate Professor, School of Public Health, University of Alberta
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
On factor copula-based mixed regression models
-Speaker: Speaker: Pavel Krupskiy, Lecturer, School of Mathematics and Statistics, University of Melbourne
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Post hoc inference for genomics and neuroimaging
-Speaker: Speaker: Pierre Neuvial, CNRS researcher (DR) in Statistics, Institut de Mathématiques de Toulouse (IMT)
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Epidemic models: can we make them behave better?
-Speaker: Speaker: Rob Deardon, Professor of Biostatistics, University of Calgary
Event type: Statistics Seminar
Location: Zoom
A corrected Clarke test for model selection
-Speaker: Speaker: Aleksey Min, Professor and Chair of Mathematical Finance, Technical University of Munich (TUM)
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Markov Chain Monte Carlo and Langevin equations on a Stratification
-Speaker: Speaker: Miranda Holmes-Cerfon, Associate Professor, UBC Mathematics
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Statistical Imaging of Black Holes using the Event Horizon Telescope
-Speaker: Speaker: Paul Tiede, Postdoctoral Researcher, Center for Astrophysics, Harvard & Smithsonian
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Statistical implications of group invariance of distributions
-Speaker: Speaker: Peter Orbanz, Professor of Machine Learning in the Gatsby Computational Neuroscience Unit at University College London
Event type: Statistics Seminar
Location: ESB 4192
VanBUG Bioinformatics Seminar: Yongjin Park
-Speaker: Speaker: Yongjin Park, Assistant Professor, UBC Department of Statistics
Event type: Statistics Seminar
Location: St. Paul's Hospital, Cullen Family Lecture Theatre (Room 1477), Providence Building, Level 1, 1081 Burrard St, Vancouver, BC V6Z 1Y6 / Zoom meeting available at https://www.vanbug.org on seminar day.
AI-Driven Experimental Design for Accelerating Science and Engineering
-Speaker: Speaker: Willie Neiswanger, Postdoctoral Scholar, Computer Science Department, Stanford University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Optimal methods for reinforcement learning: Efficient algorithms with instance-dependent guarantees
-Speaker: Speaker: Wenlong Mou, PhD student, Department of Electrical Engineering and Computer Sciences, University of California Berkeley
Event type: Statistics Seminar
Location: ESB 4192 / Zoom
Statistically efficient offline reinforcement learning
-Speaker: Speaker: Masatoshi Uehara, PhD student, Department of Computer Science, Cornell University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom