*Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models**Professor Yihong Wu -- Yale University*

*Rates of Approximation for CLT and Bootstrap in High DimensionsProfessor Miles Lopes-- University of California, Davis*

*High-dimensional Regression and Dictionary Learning: Some Recent Advances for Tensor DataProfessor Waheed U. Bajwa-- Rutgers University*

Conformal Inference of Counterfactuals and Individual Treatment Effects

Dr. Lihua Lei--Stanford University--Wednesday, February 10, 2021

Global Testing Against Sparse Alternatives under Ising Models

Professor Rajarshi Mukherjee--Harvard University--Wednesday, February 17, 2021

Adaptive Estimation in Multivariate Response Aggression with Hidden Variables

Professor Yang Ning--Cornell University--Wednesday, February 24, 2021

Statistical Inference for high dimensional principal components

Professor Xiuca Ding--UC Davis--Wednesday, March 3, 2021

Minimum-Norm Interpolation in Statistical Learning: New Phenomena in High Dimensions

Professor Tengyuan Liang--University of Chicago--Wednesday, March 10, 2021

Prepivoting in Finite Population Causal Inference

Professor Colin Fogarty--MIT--Wednesday, March 24, 2021

The partial liner model (PLM) from semiparametric to modern ramifications

Professor Ya'acov Ritov--University of Michigan, Ann Arbor--Wednesday, March 31, 2021

Change-point detection for COVID-19 time series via self-normalization

Professor Xiaofeng Shao--University of Illinois at Urbana-Champaign--Wednesday, April 7, 2021

The Confidence Interval Method for Selection Valid Instrumental Variables

Professor Frank Windmeijer--University of Oxford--Wednesday, April 28, 2021