Fall-Spring 2020

Fall 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

Spring 2020

 

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