Events List
Metropolis Adjusted Underdamped Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo
-Speaker: Speaker: Lionel Riou-Durand, Postdoctoral Fellow, University of Warwick
Event type: Statistics Seminar
Location: Zoom
Two UBC Statistics MSc student presentations (Grace Yin & Wei Tang)
-Speaker: Speaker: Grace Yin, UBC Statistics MSc student; Wei Tang, UBC Statistics MSc student
Event type: Graduate Student Seminar
Location: Zoom / ESB 4192
Bayesian Dose-Finding Design for Molecularly Targeted Agents and Immunotherapy
-Speaker: Speaker: Haolun Shi, Assistant Professor, Department of Statistics and Actuarial Science, Simon Fraser University
Event type: Statistics Seminar
Location: Zoom
Stochastic Geometry for Machine Learning
-Speaker: Speaker: Eliza O’Reilly, Postdoctoral Scholar Fellowship Trainee, Computing and Mathematical Sciences, California Institute of Technology
Event type: Statistics Seminar
Location: Zoom / ESB 4192
Poster Session for STAT 450
-Speaker: Speaker: STAT 450 Students
Event type: Poster Session
Location: ESB Atrium - East Corridor (PME Gallery)
CANSSI Data Science ARES: Marie Auger-Méthé
-Speaker: Speaker: Marie Auger-Méthé, Assistant Professor, UBC Department of Statistics, Institute for the Oceans & Fisheries
Event type: Statistics Seminar
Location: Zoom (to register, see CANSSI website)
Non-reversible parallel tempering on optimized paths
-Speaker: Speaker: Saif Syed, UBC Statistics PhD Student
Event type: Graduate Student Seminar
Location: Zoom
Doctor for AI: Prior-informed ML for Biomedical Imaging and Perception
-Speaker: Speaker: Liyue Shen, Ph.D. student, Department of Electrical Engineering, Stanford University
Event type: Statistics Seminar
Location: Zoom
What can statisticians learn from the analysis of C.elegans data?
-Speaker: Speaker: Gonzalo E. Mena, Florence Nightingale Bicentennial Fellow and Tutor in Computational Statistics and Machine Learning, Department of Statistics, University of Oxford
Event type: Statistics Seminar
Location: Zoom
Bridging the Gap Between Deep Learning and Probabilistic Modeling
-Speaker: Speaker: Geoff Pleiss, Postdoctoral Research Scientist, Department of Statistics and Zuckerman Institute, Columbia University
Event type: Statistics Seminar
Location: Zoom
van Eeden seminar: An Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Change Conclusions?
-Speaker: Speaker: van Eeden Invited Speaker: Tamara Broderick, Associate Professor, Massachusetts Institute of Technology
Event type: Statistics Seminar
Location: Zoom (registration required)
Meta-Analytic Inference for the COVID-19 Infection Fatality Rate
-Speaker: Speaker: Paul Gustafson, Professor and Department Head, UBC Statistics
Event type: Statistics Seminar
Location: Zoom
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
-Speaker: Speaker: Ning Ning (Patricia), Postdoctoral Research Fellow, Department of Statistics, University of Michigan, Ann Arbor
Event type: Statistics Seminar
Location: Zoom
CANCELLED: Instance-dependent Reinforcement Learning: A statistical viewpoint
-Speaker: Speaker: Koulik Khamaru, PhD student, Department of Statistics, University of California Berkeley
Event type: Statistics Seminar
Location: Zoom
CANSSI Saskatchewan HSCC Webinar Series January-April 2022: Jiahua Chen
-Speaker: Speaker: Jiahua Chen, UBC Statistics Professor
Event type: Statistics Seminar
Location: Zoom (to register, see CANSSI website)
CANCELLED: Non-reversible parallel tempering on optimized paths
-Speaker: Speaker: Saif Syed, UBC Statistics PhD Student
Event type: Statistics Seminar
Location: Zoom
Statistical Learning and Matching Markets
-Speaker: Speaker: Xiaowu Dai, Postdoctoral Researcher, Department of Economics and EECS, University of California Berkeley
Event type: Statistics Seminar
Location: Zoom
Observational Data with a Continuous Exposure: Study Design and Data Analysis
-Speaker: Speaker: Bo Zhang, PhD student, Department of Statistics and Data Science, The Wharton School, University of Pennsylvania
Event type: Statistics Seminar
Location: Zoom
Nonparametric Empirical Bayes Inference
-Speaker: Speaker: Nikolaos Ignatiadis, PhD Student, Department of Statistics, Stanford University
Event type: Statistics Seminar
Location: Zoom
The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property
-Speaker: Speaker: Iain Carmichael, Postdoctoral Researcher, Harvard Medical School
Event type: Statistics Seminar
Location: Zoom