Spring 2021 Online Seminars

Date Presenter Title
Wednesday, January 20
Time: 12:10-1:10 pm
Lihua Lei – Stanford University Distribution-Free Assessment of Population Overlap in Observational Studies
Wednesday, January 27
Time: 12:10-1:10 pm
Yuxin Chen – Princeton University Taming Nonconvexity in Statistical and Reinforcement Learning
Wednesday, February 3
Time: 12:10-1:10 pm
Liza Levina – University of Michigan Hierarchical Community Detection by Recursive Partitioning
Wednesday, February 10
Time: 12:10-1:10 pm
Yuting Wei – Carnegie Mellon University Breaking the Sample Size Barrier in Reinforcement Learning
Friday, February 12
Time: 12:10-1:10 pm
Elizabeth Ogburn – Johns Hopkins University Disentangling Confounding and Nonsense Associations Due to Dependence
Wednesday, February 17
Time: 12:10-1:10 pm
Gesine Reinert – University of Oxford Stein’s Method for Exponential Random Graph Models and Kernelized Goodness of Fit
Wednesday, February 24
Time: 12:10-1:10 pm
Jacob Steinhardt – University of California, Berkeley The Science of Measurement in Machine Learning
Friday, February 26
Time: 12:10-1:10 pm
Veronika Rockova – University of Chicago Metropolis-Hastings via Classification
Wednesday, March 3
Time: 12:10-1:10 pm
Will Fithian – University of California, Berkeley Conditional Calibration for False Discovery Rate Control under Dependence
Wednesday, March 17
Time: 12:10-1:10 pm
Tian Zheng – Columbia University Artificial Perceptual Learning: Image Categorization with Weak Supervision
Wednesday, March 24
Time: 12:10-1:10 pm
Hamsa Bastani – University of Pennsylvania Deploying an Artificial Intelligence System for COVID-19 Testing at the Greek Border
Wednesday, March 31
Time: 12:10-1:10 pm
Stephen Bates – University of California, Berkeley Distribution-Free, Risk-Controlling Prediction Sets
Wednesday, April 7
Time: 12:10-1:10 pm
Mikhail Belkin – University of California, San Diego Two Mathematical Lessons of Deep Learning
Wednesday, April 14
Time: 12:10-1:10 pm
Larry Wasserman – Carnegie Mellon University Causal Inference in the Time of Covid-19
Joint Seminar with the Wharton
Applied Economics Workshop      

Wednesday, April 21
Time: 12:10-1:10 pm
Isaiah Andrews – Harvard University Inference on Winners
Joint Seminar with the
Penn CIS Department
Wednesday, April 28
Time: 12:10-1:10 pm
Emmanuel Candès – Stanford University Reliable Predictions? Counterfactual Predictions? Equitable Treatment? Some Recent Progress In Predictive Inference
Wednesday, May 5
Time: 12:10-1:10 pm
Murat Erdogdu – University of Toronto On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness

Previous Statistics Seminars

Related Seminars

Conferences

Date Title
December 2021 Perspectives in Statistical Modeling and Inference: A Workshop in Honor of Ed George’s 70th Birthday
Monday, February 8 – Friday, February 12, 2021 Women in Data Science Philadelphia@Penn 2021 Virtual Conference
Friday, November 30 – Saturday, December 1, 2018 Memorial Service and Workshop in Honor of Lawrence D. Brown
May 20, 2015 Atlantic Causal Inference Conference 2015
December 15, 2010 Borrowing Strength Theory Powering Applications
June 5, 2009 Objective Bayes Meeting 2009
May 20, 2009 Atlantic Causal Modeling Conference 2009