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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.

August 2019
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
July 2019
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 ---
June 2019
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
May 2019
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
April 2019
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
March 2019
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
February 2019
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
January 2019
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
December 2018
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
November 2018
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
October 2018
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
September 2018
Date/Time Speaker Affiliation Title
Tue 25 Sep
04:30PM
Jerry Li UC Berkeley Simons Institute Efficient algorithms for high-dimensional robust learning
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