Statistics Department Seminar
The Statistics Seminars for Summer Quarter will be held in Room 380C of Sloan Mathematics Center at 4:30pm on Tuesdays. Refreshments are served at 4pm in the Lounge on the first floor of Sequoia Hall.
You can receive a weekly announcement of seminar offerings by subscribing to our mailing list at any time! Please follow the link for Statistics Seminars 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.
Questions about Seminars may be sent to seminars@stat.stanford.edu.
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 13 Aug
04:30PM |
Merle Behr | UC Berkeley | Learning finite alphabet structures |
|
Tue 06 Aug
04:30PM |
David Hirshberg | Stanford GSB | Augmented minimax linear estimation |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 30 Jul
04:30PM |
Michael Wolf | University of Zurich | Analytical nonlinear shrinkage of large-dimensional covariance matrices |
|
Thu 25 Jul
04:30PM Extra Seminar
|
Subhadeep Mukhopadhyay | Temple University | The relevance problem: 50 years on |
|
Tue 23 Jul
04:30PM |
Armeen Taeb | Caltech | A geometric perspective on false discovery control |
|
Tue 16 Jul
04:30PM |
Matteo Sesia | Stanford Statistics | Reproducible localization of causal variants across the genome |
|
Tue 09 Jul
04:30PM |
Stephen Bates | Stanford Statistics | Metropolized knockoff sampling |
|
Tue 02 Jul
04:30PM |
University Holiday | Independence Day (July 4th) | --- No Seminar --- |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 25 Jun
04:30PM |
Tengyu Ma | Stanford Statistics and CS | Data-dependent regularization and sample complexity of deep neural networks |
|
Wed 05 Jun
04:30PM Extra Seminar
|
Inchi Hu | HKUST | An empirical Bayes analysis of a large number of chi-square tests |
|
Tue 04 Jun
04:30PM |
Xi Chen | NYU | Quantile regression for big data under small memory |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 28 May
04:30PM |
Yuxin Chen | Princeton University | Bridging convex and nonconvex optimization in noisy matrix completion: Stability and uncertainty quantification |
|
Tue 21 May
04:30PM |
Edoardo Airoldi | Temple University | Designing experiments on social and information networks |
|
Thu 16 May
01:00PM Extra Seminar
|
Nathan Srebro | University of Chicago | Optimization's hidden gift to learning: Implicit regularization |
|
Tue 14 May
04:30PM |
Yves Atchade | Boston University | Interplay between Bayesian theory and computation |
|
Tue 07 May
04:30PM |
Caroline Uhler | MIT | From causal inference to autoencoders and gene regulation |
|
Wed 01 May
04:30PM Extra Seminar
|
Cosma Shalizi | Carnegie Mellon University | Smoothing, bootstrapping, and comparing networks |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 30 Apr
04:30PM |
Harrison Zhou | Yale University | Statistical and computational guarantees of EM with random initialization |
|
Tue 23 Apr
04:30PM Venue Change
|
Peter Hoff | Duke University | Mixed effects models for skeptics |
|
Tue 16 Apr
04:30PM |
Pierre Jacob | Harvard University | Unbiased Markov chain Monte Carlo methods |
|
Tue 09 Apr
04:30PM |
Richard Nickl | Cambridge University | Statistical guarantees for the Bayesian approach to inverse problems |
|
Tue 02 Apr
04:00PM BSJC
|
Julia Palacios | Stanford Statistics | The Tajima coalescent |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 12 Mar
04:30PM |
Emily Fox | University of Washington | Flexibility, interpretability, and scalability in time series modeling |
|
Tue 05 Mar
04:30PM |
Bernard Silverman | University of Nottingham and University of Oxford | Multiple systems estimation and the quantification of modern slavery |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 26 Feb
04:30PM |
Cun-Hui Zhang | Rutgers University | Second-order Stein: SURE for SURE and other applications |
|
Thu 21 Feb
04:30PM Extra Seminar
|
Joshua Cape | Johns Hopkins University | Statistical analysis and spectral methods for signal-plus-noise matrix models |
|
Tue 19 Feb
04:30PM |
Tselil Schramm | Harvard University | Statistical problems and convex relaxations: Dreams of a general theory |
|
Wed 13 Feb
04:30PM Extra Seminar
|
Jonathan Weed | MIT | Large-scale optimal transport: Statistics and computation |
|
Tue 12 Feb
04:30PM |
Nicholas Cook | Stanford Math | Large deviations for sparse random graphs |
|
Tue 05 Feb
04:30PM |
Brett Kolesnik | UC Berkeley | Randomized sequential importance sampling for estimating the number of perfect matchings in bipartite graphs |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Wed 30 Jan
04:30PM Extra Seminar
|
Morgane Austern | Columbia University | Limit theorems for random structures and functions of exchangeable structures |
|
Tue 29 Jan
04:30PM |
Elina Robeva | MIT | Statistical estimation under algebraic constraints: Total positivity |
|
Tue 22 Jan
04:30PM |
Christopher Maddison | Oxford University | AlphaGo, Hamiltonian descent, and the computational challenges of machine learning |
|
Wed 16 Jan
04:30PM Extra Seminar
|
Andee Kaplan | Duke University | Life after record linkage: Tackling the downstream task with error propagation |
|
Tue 15 Jan
04:30PM |
James Johndrow | Stanford Statistics | Bayes shrinkage at GWAS scale |
|
Fri 11 Jan
03:00PM Special Event
|
Larry Wasserman | Carnegie Mellon University | Model-free predictive inference |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Wed 05 Dec
04:30PM Extra Seminar
|
Matt Wand | University of Technology Sydney | Fast approximate inference for arbitrarily large statistical models via message passing |
|
Tue 04 Dec
04:30PM |
Yingying Fan | USC | Asymptotic theory of eigenvectors for large random matrices with applications to network inference |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 27 Nov
04:30PM |
Rachel Ward | UT Austin | AdaGrad for strong SGD convergence guarantees without step size tuning |
|
Tue 20 Nov
04:30PM |
Thanksgiving Week | --- No Seminar --- | |
|
Tue 13 Nov
04:30PM |
Dawn B. Woodard | Uber | Dynamic pricing and matching for ride-hailing |
|
Tue 06 Nov
04:30PM |
Jason Lee | USC | Foundations of deep learning: SGD, overparametrization, and generalization |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 30 Oct
04:30PM SBJC
|
Philip Stark | UC Berkeley | Student evaluations of teaching do not measure teaching effectiveness: What do they measure? |
|
Tue 23 Oct
04:30PM |
Art Owen | Stanford Statistics | Optimizing the tie-breaker regression discontinuity design |
|
Tue 16 Oct
04:30PM |
Tengyu Ma | Stanford Statistics and Computer Science | On the margin theory of feedforward neural networks |
|
Tue 09 Oct
04:30PM |
Kristian Lum | Human Rights Data Analysis Group | Statistical challenges in casualty estimation |
|
Tue 02 Oct
04:30PM |
David Donoho | Stanford Statistics | The statistical significance of perfect linear separation |
| Date/Time | Speaker | Affiliation | Title |
|---|---|---|---|
|
Tue 25 Sep
04:30PM |
Jerry Li | UC Berkeley Simons Institute | Efficient algorithms for high-dimensional robust learning |
