Fall-Spring 2020

Sep 11	Gesine Reinert (University of Oxford) Stein’s method for multivariate continuous distributions and applications	online
Sep 18	Caroline Uhler (MIT) Causal Inference and Overparameterized Autoencoders in the Light of Drug Repurposing for SARS-CoV-2	online
Sep 25	Dylan Foster (MIT) Separating Estimation from Decision Making in Contextual Bandits	online
Oct 2	Richard Nickl (University of Cambridge) Bayesian inverse problems, Gaussian processes, and partial differential equations	online
Oct 9	Gábor Lugosi (Pompeu Fabra University) On Estimating the Mean of a Random Vector	online
Oct 16	Carola-Bibiane Schönlieb (University of Cambridge) Data driven variational models for solving inverse problems	online
Oct 23	Jose Blanchet (Stanford University) Statistical Aspects of Wasserstein Distributionally Robust Optimization Estimators	online
Oct 30	Alessandro Rinaldo (Carnegie Mellon University)	POSTPONED
Nov 6	Daniela Witten (University of Washington) Valid hypothesis testing after hierarchical clustering	online
Nov 13	Mary Wootters (Stanford University) Sharp Thresholds for Random Subspaces, and Applications	online
Nov 20	Arnaud Doucet (University of Oxford) Perfect Simulation for Feynman-Kac Models using Ensemble Rejection Sampling	online
Dec 4	Rong Ge (Duke University) A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Net	online

Feb 7	Weijie Su (University of Pennsylvania) Gaussian Differential Privacy, with Applications to Deep Learning	E18-304
Feb 14	Xiaohui Chen (University of Illinois at Urbana-Champaign) Diffusion K-means Clustering on Manifolds: provable exact recovery via semidefinite relaxations	E18-304
Feb 21	Rina Foygel Barber (University of Chicago) Predictive Inference with the Jackknife+	E18-304
Feb 28	Kavita Ramanan (Brown University) Tales of Random Projections	E18-304
Mar 6	Suriya Gunasekar (Microsoft Research)	POSTPONED
Mar 13	Dan Spielman (Yale University)	POSTPONED
Mar 20	Hilary Finucane (Broad Institute of MIT)	POSTPONED
Apr 10	Alessandro Rinaldo (Carnegie Mellon University)	POSTPONED
Apr 10	Jonathan Niles-Weed (New York University) Matrix Concentration for Products	online
Apr 17	Ery Arias-Castro (University of California, San Diego) On the Estimation of Distances Using Graph Distances	online
Apr 24	Jon Wellner (University of Washington)	POSTPONED
Apr 24	Sebastien Bubeck (Microsoft Research)	online
May 1	Annie Liang (University of Pennsylvania)	POSTPONED
May 1	Alexandre d’Aspremont (ENS, CNRS) Naive Feature Selection: Sparsity in Naive Bayes	online
May 8	Gerard Ben Arous (New York University, Courant Institute)	POSTPONED

Seminars