Upcoming
Fall 2024
Sep 13 – Lihua Lei (Stanford University)
Model-agnostic covariate-assisted inference on partially identified causal effects
Sep 20 – No Seminar
Sep 27 – Allan Sly (Princeton University)
Large cycles for the interchange process
Oct 4 – Giles Hooker (University of Pennsylvania, Wharton School)
Trees and V’s: Inference for Ensemble Models
Oct 11 – Tudor Manole (MIT)
Central Limit Theorems for Smooth Optimal Transport Maps
Oct 18 – Anna Korba (ENSAE/CREST)
Oct 25 – Tijana Zrnic (Stanford University)
A Flexible Defense Against the Winner’s Curse
Nov 1 – Christopher Harshaw (Columbia University)
Estimating Direct Effects under Interference: A Spectral Experimental Design
Nov 8 – Boris Hanin (Princeton University)
Scaling Limits of Neural Networks
Nov 15 – Rina Foygel Barber (University of Chicago)
Nov 22 – Ofer Shayevitz, (Tel Aviv University)
Nov 29 – No Seminar
Dec 6 – Jing Lei (Carnegie Mellon University)
Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection