Statistics at Google Mar 12 Date(s) Tue, Mar 12 2024, 4:30pm Summary Omkar Muralidharan (Google) Sloan Center Room 380Y Statistics and Probability Seminars
Bulk universality for complex eigenvalues of real non-symmetric random matrices Mar 11 Date(s) Mon, Mar 11 2024, 4pm Summary Kevin Yang (Harvard University) Sequoia Hall Room 200 Statistics and Probability Seminars
Transparent and consistent deep representation learning: From black-box to white-box, from open-loop to closed-loop Mar 7 Date(s) Thu, Mar 7 2024, 4:30pm Summary Yi Ma (HKU and UC Berkeley) Pigott 113 Statistics and Probability Seminars
M-statistics: Optimal exact statistical inference for a small sample Mar 5 Date(s) Tue, Mar 5 2024, 4:30pm Summary Eugene Demidenko (Dartmouth College) Sloan Center Room 380Y Statistics and Probability Seminars
Many nodal domains in random regular graphs Mar 4 Date(s) Mon, Mar 4 2024, 4pm Summary Nikhil Srivastava (UC Berkeley) Sequoia Hall Room 200 Statistics and Probability Seminars
Bridging probabilistic inference and deep learning Feb 22 Date(s) Thu, Feb 22 2024, 4:30pm Summary Jake Snell (Princeton University) Pigott Room 113 Statistics and Probability Seminars
Probabilistic methods for designing functional protein structures Feb 22 Date(s) Thu, Feb 22 2024, 1:30pm Summary Brian Trippe, Columbia University MSOB Room X303 Statistics and Probability Seminars
Beyond the black box: Characterizing and improving how neural networks learn Feb 20 Date(s) Tue, Feb 20 2024, 4:30pm Summary Enric Boix, MIT Sloan Center Room 380Y Statistics and Probability Seminars
Quantum advantage via the statistical lens Feb 15 Date(s) Thu, Feb 15 2024, 4:30pm Summary Jerry Li (Microsoft Research) Pigott Hall Room 113 Statistics and Probability Seminars
Nonparametric sharp bounds and optimal design in police oversight Feb 13 Date(s) Tue, Feb 13 2024, 4:30pm Summary Dean Knox (Univ of Pennsylvania) Sloan Center Room 380Y Statistics and Probability Seminars