During this period of restrictions on social gatherings within our community, the Statistics Department remains committed to providing a forum for sharing our research and that of our colleagues as regularly as possible. We hope to see everyone together in a live presentation very soon!
You can receive a weekly announcement of seminar offerings by subscribing to our mailing list at any time! Add your information to join "Statistics Seminars" via Mailman and fill in the fields required to subscribe, unsubscribe, change subscription options, and so on.
We provide a LaTeX template for speakers to use when submitting the abstract for a seminar (sample PDF output). Using this template makes it possible to post the abstract promptly and without unintended errors that might creep in if your text has to be migrated from another source.
Zoom sessions are open to registered participants through our email distribution. Questions about this series may be sent to seminars@stat.stanford.edu.
Date/Time | Speaker | Affiliation | Title |
---|---|---|---|
Tue 16 Mar
04:30PM |
Subhabrata Sen | Harvard University | --- |
Tue 09 Mar
04:30PM |
Jonathan Niles-Weed | Courant Institute, NYU | --- |
Date/Time | Speaker | Affiliation | Title |
---|---|---|---|
Tue 23 Feb
04:30PM |
Vidya Muthukumar | Georgia Tech | --- |
Tue 16 Feb
04:30PM |
Stephen Bates | UC Berkeley | --- |
Tue 09 Feb
04:30PM |
Yanjun Han | Stanford Engineering | --- |
Tue 02 Feb
04:30PM |
Daniel Erdmann-Pham | UC Berkeley | Interacting particle processes and gene expression: Hydrodynamics of the inhomogeneous l-TASEP |
Date/Time | Speaker | Affiliation | Title |
---|---|---|---|
Tue 26 Jan
04:30PM |
Yinqiu He | University of Michigan | Hypothesis testing for large-scale data: Enhancing reliability and efficiency |
Tue 19 Jan
04:30PM |
Somabha Mukherjee | University of Pennsylvania | Statistical inference of dependent network data: The tensor Ising model |
Tue 12 Jan
04:30PM |
Gil Kur | MIT | On the minimax optimality of maximum likelihood in the non-Donsker regime |
Date/Time | Speaker | Affiliation | Title |
---|---|---|---|
Tue 17 Nov
04:30PM |
Edgar Dobriban | University of Pennsylvania | On the statistical foundations of adversarially robust learning |
Tue 10 Nov
04:30PM SBJC
|
Will Fithian | UC Berkeley | Conditional calibration for false discovery rate control under dependence |
Tue 03 Nov
04:30PM |
Mengdi Wang | Princeton University | Some theoretical results on model-based reinforcement learning |
Date/Time | Speaker | Affiliation | Title |
---|---|---|---|
Tue 27 Oct
04:30PM |
Nilam Ram | Stanford Communication and Psychology | Screenomics: A playground for the mining and modeling of both "big" and "small" longitudinal data |
Tue 20 Oct
04:30PM |
Mikhail Belkin | Halıcıoğlu Data Science Institute | Two mathematical lessons of deep learning |
Tue 13 Oct
04:30PM |
Art Owen | Stanford Statistics | Backfitting for large-scale crossed random effects regressions |
Tue 06 Oct
04:30PM |
Kengo Kato | Cornell University | Berry–Esseen bounds for Chernoff-type nonstandard asymptotics in isotonic regression |
Date/Time | Speaker | Affiliation | Title |
---|---|---|---|
Tue 29 Sep
04:30PM |
Mohamed Ndaoud | USC | Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach |
Tue 22 Sep
04:30PM |
Samory Kpotufe | Columbia University | Some recent insights on transfer-learning |
Tue 15 Sep
04:30PM |
David Donoho | Stanford Statistics | Prevalence of neural collapse during terminal phase of deep learning training |