Spring 2022 Seminars

Date Presenter Title
Wednesday, January 12
Time: 12:00-1:30 pm
Location: Online
Reza Gheissari – University of California, Berkeley Gradient Methods for Parameter Estimation in High Dimensions
Wednesday, January 19
Time: 12:00-1:30 pm
Location: Online
Bianca Dumitrascu – University of Cambridge Statistical Machine Learning for Genetics and Health: Multi-modality, Interpretability, Mechanism
Monday, January 24
Time: 12:00-1:30 pm
Location: Online
Lihua Lei – Stanford University What Can Conformal Inference Offer to Statistics?
Wednesday, January 26
Time: 12:00-1:30 pm
Location: Online
Jiaoyang Huang – New York University Random Matrix Theory for Sparse Graphs and Statistical Learning
Monday, January 31
Time: 12:00-1:30 pm
Location: Online
Qi Lei – Princeton University Theoretical Foundations of Pretrained Models
Wednesday, February 2
Time: 12:00-1:30 pm
Location: Online
Mark Sellke – Stanford University Algorithmic Thresholds in Mean-Field Spin Glasses
Monday, February 7
Time: 12:00-1:30 pm
Location: Online
Feng Ruan – University of California, Berkeley Designing Better Nonconvex Models for Modern Statistical Applications
Wednesday, February 9
Time: 12:00-1:30 pm
Location: Online
Jason Altschuler – Massachusetts Institute of Technology Transport and Beyond: Efficient Optimization over Probability Distributions
Monday, February 14
Time: 12:00-1:30 pm
Location: Online
Alexander Wein – Georgia Institute of Technology Understanding Statistical-vs-Computational Tradeoffs via Low-Degree Polynomials
Wednesday, February 16
Time: 12:00-1:30 pm
Location: Online
Bingxin Zhao – Purdue University Biobank-scale Multi-organ Imaging Genetics: Clinical and Statistical Advances
Monday, February 21
Time: 12:00-1:30 pm
Location: Online
Nikolaos Ignatiadis – Stanford University Nonparametric Empirical Bayes Inference
Wednesday, March 16
Time: 12:00-1:00 pm
Location: Online
Rajen Shah – University of Cambridge Low-Priced Lunch in Conditional Independence Testing
Wednesday, March 23
Time: 12:00-1:00 pm
Location: F55 Jon M. Huntsman Hall
Guanyang Wang – Rutgers University Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC
Monday, March 28
Time: 12:00-1:00 pm
Location: F55 Jon M. Huntsman Hall
Osbert Bastani – University of Pennsylvania Statistical Guarantees for Trustworthy Deep Learning
Wednesday, March 30
Time: 12:00-1:00 pm
Location: F55 Jon M. Huntsman Hall
Arun Kumar Kuchibhotla – Carnegie Mellon University Median Bias, HulC, and Valid Inference
Wednesday, April 6
Time: 12:00-1:00 pm
Location: F55 Jon M. Huntsman Hall
Cynthia Rush – Columbia University On the Robustness of α-Posteriors to Model Misspecification
Wednesday, April 13
Time: 12:00-1:00 pm
Location: F55 Jon M. Huntsman Hall
Désiré Kédagni – Iowa State University Marginal Treatment Effects with Misclassified Treatment
Wednesday, April 20
Time: 12:00-1:00 pm
Location: F55 Jon M. Huntsman Hall
Jason Klusowski – Princeton University Large Scale Prediction with Decision Trees
Thursday, April 21
Time: 12:00-1:00 pm
Location: G65 Jon M. Huntsman Hall
Yingying Fan – University of Southern California Asymptotic Properties of High-Dimensional Random Forests
Monday, April 25
Time: 12:00-1:00 pm
Location: F55 Jon M. Huntsman Hall
Rene Vidal – Johns Hopkins University Mathematics of Deep Learning: Global Optimality, Implicit Bias, and Learning Dynamics
Wednesday, April 27
Time: 12:00-1:00 pm
Location: F55 Jon M. Huntsman Hall
Andrew Nobel – University of North Carolina, Chapel Hill Stationary Optimal Transport with Applications to Graph Alignment

Previous Statistics Seminars

Related Seminars

Conferences/Workshops

Date Title
Friday, December 10 – Saturday, December 11, 2021 Perspectives in Statistical Modeling and Inference: A Workshop in Honor of Ed George’s 70th Birthday
Wednesday, September 8 – Friday, September 10, 2021 Lawrence D. Brown Distinguished Lecture Series by James Berger
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