Stochastic Geometry for Machine Learning
Thursday, March 31, 2022 - 11:00 to 12:00
Speaker
Eliza O’Reilly, Postdoctoral Scholar Fellowship Trainee, Computing and Mathematical Sciences, California Institute of Technology
Location
Zoom / ESB 4192
CANSSI Data Science ARES: Marie Auger-Méthé
Monday, March 28, 2022 - 12:30 to 13:30
Speaker
Marie Auger-Méthé, Assistant Professor, UBC Department of Statistics, Institute for the Oceans & Fisheries
Location
Zoom (to register, see CANSSI website)
Doctor for AI: Prior-informed ML for Biomedical Imaging and Perception
Thursday, March 17, 2022 - 11:00 to 12:00
Speaker
Liyue Shen, Ph.D. student, Department of Electrical Engineering, Stanford University
Location
Zoom
What can statisticians learn from the analysis of C.elegans data?
Tuesday, March 15, 2022 - 11:00 to 12:00
Speaker
Gonzalo E. Mena, Florence Nightingale Bicentennial Fellow and Tutor in Computational Statistics and Machine Learning, Department of Statistics, University of Oxford
Location
Zoom
Bridging the Gap Between Deep Learning and Probabilistic Modeling
Thursday, March 10, 2022 - 11:00 to 12:00
Speaker
Geoff Pleiss, Postdoctoral Research Scientist, Department of Statistics and Zuckerman Institute, Columbia University
Location
Zoom
van Eeden seminar: An Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Change Conclusions?
Tuesday, March 22, 2022 - 11:00 to 13:00
Speaker
van Eeden Invited Speaker: Tamara Broderick, Associate Professor, Massachusetts Institute of Technology
Location
Zoom (registration required)
Meta-Analytic Inference for the COVID-19 Infection Fatality Rate
Thursday, March 3, 2022 - 13:00 to 14:00
Speaker
Paul Gustafson, Professor and Department Head, UBC Statistics
Location
Zoom
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
Tuesday, March 8, 2022 - 11:00 to 12:00
Speaker
Ning Ning (Patricia), Postdoctoral Research Fellow, Department of Statistics, University of Michigan, Ann Arbor
Location
Zoom
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