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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.

June 2021
Date/Time Speaker Affiliation Title
Tue 08 Jun
04:30PM
Denis Chetverikov UCLA ---
Tue 01 Jun
04:30PM
Tengyu Ma Stanford Statistics ---
May 2021
Date/Time Speaker Affiliation Title
Tue 25 May
04:30PM
Yingying Fan USC ---
Tue 18 May
04:30PM
Jing Lei Carnegie Mellon University ---
Tue 11 May
04:30PM
Lihua Lei Stanford Statistics ---
Tue 04 May
04:30PM
Shankar Bhamidi University of North Carolina, Chapel Hill ---
April 2021
Date/Time Speaker Affiliation Title
Tue 27 Apr
04:30PM
Soumendu Sundar Mukherjee Indian Statistical Institute, Kolkata ---
Tue 20 Apr
04:30PM
Po-Ling Loh University of Cambridge ---
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
March 2021
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
February 2021
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
January 2021
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
November 2020
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
October 2020
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
September 2020
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
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