Statistics Department Seminar
The Statistics Seminars for Winter Quarter will be held online via Zoom at 4:30pm on Tuesdays. Please note that these events will be locked by the Host after ten minutes, so latecomers will not be able to join the Meeting. Subscribe to our distribution list to receive Meeting IDs and passwords via email.
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 17 Aug
04:30PM |
Christos Thrampoulidis | UBC, UCSB | --- |
|
Tue 10 Aug
04:30PM |
JSM 2021 | ASA Virtual Event | --- No Seminar --- |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 27 Jul
04:30PM |
Surbhi Goel | Microsoft Research NYC | --- |
|
Tue 13 Jul
04:30PM |
Matus Telgarsky | University of Illinois Urbana-Champaign | --- |
|
Tue 06 Jul
04:30PM |
Holiday Week | Independence Day | --- No Seminar --- |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 29 Jun
04:30PM |
Clément Canonne | University of Sydney | --- |
|
Tue 22 Jun
04:30PM |
STOC 2021 | ACM Virtual Event | --- No Seminar --- |
|
Tue 15 Jun
04:30PM |
Fredrik Sävje | Yale University | Balancing covariates in randomized experiments with the Gram-Schmidt Walk design |
|
Tue 08 Jun
04:30PM |
Denis Chetverikov | UCLA | Spectral and post-spectral estimators for grouped panel data models |
|
Tue 01 Jun
04:30PM |
Tengyu Ma | Stanford Statistics | Provable guarantees for self-supervised deep learning with spectral contrastive loss |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 25 May
04:30PM |
Yingying Fan | USC | Asymptotic properties of high-dimensional random forests |
|
Tue 18 May
04:30PM |
Jing Lei | Carnegie Mellon University | Community estimation in general multilayer stochastic block models |
|
Tue 11 May
04:30PM |
Lihua Lei | Stanford Statistics | Conformal inference of counterfactuals and time-to-event outcomes |
|
Tue 04 May
04:30PM |
Shankar Bhamidi | University of North Carolina, Chapel Hill | Long range dependence in evolving networks |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 27 Apr
04:30PM |
Soumendu Sundar Mukherjee | Indian Statistical Institute, Kolkata | A new model selection criterion for high-dimensional PCA |
|
Tue 20 Apr
04:30PM |
Po-Ling Loh | University of Cambridge | A modern take on Huber regression |
|
Tue 13 Apr
04:00PM BSJC
|
Dominik Rothenhäusler | Stanford Statistics | Conditional inference: Towards a hierarchy of statistical evidence |
|
Tue 06 Apr
04:30PM |
Veronika Rockova | University of Chicago | Metropolis-Hastings via classification |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 30 Mar
04:30PM |
Karl Rohe | University of Wisconsin-Madison | Vintage factor analysis with varimax performs statistical inference |
|
Tue 16 Mar
04:30PM |
Subhabrata Sen | Harvard University | High-dimensional Bayesian regression: Asymptotics via the naive mean-field approximation |
|
Tue 09 Mar
04:30PM |
Jonathan Niles-Weed | Courant Institute, NYU | Streaming k-PCA and concentration for products of random matrices |
|
Tue 02 Mar
04:30PM |
Frederic Koehler | MIT | Classification under misspecification: Halfspaces, generalized linear models, and connections to evolvability |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 23 Feb
04:30PM |
Vidya Muthukumar | Georgia Tech | Modern surprises in classical machine learning |
|
Tue 16 Feb
04:30PM |
Stephen Bates | UC Berkeley | Distribution-free, risk-controlling prediction sets |
|
Tue 09 Feb
04:30PM |
Yanjun Han | Stanford Engineering | Learning to bid in repeated first-price auctions |
|
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 |
