| Date |
Presenter |
Title |
Wednesday, January 24
Time: 12:00-1:00 pm
Location: F70 Huntsman Hall |
Lingfu Zhang – University of California, Berkeley |
Probabilistic Perspective Toward KPZ Class Models |
Wednesday, January 31
Time: 12:00-1:00 pm
Location: F70 Huntsman Hall |
Arun Kumar Kuchibhotla- Carnegie Mellon University |
A ‘robust’ framework for statistical inference |
Monday, February 5
Time: 12:00-1:00 pm
Location:F70 Huntsman Hall |
Enric Boix- Adsera – Massachusetts Institute of Technology |
Beyond the black box: characterizing and improving how neural networks learn |
Wednesday, February 7
Time: 12:00-1:00 pm
Location: F70 Huntsman Hall |
Sifan Liu – Stanford University |
An Exact Sampler for Inference after Polyhedral Selection |
Wednesday, February 14
Time: 12:00-1:00 pm
Location: F70 Huntsman Hall |
Ying Jin- Stanford University |
Model-free Selective Inference: From Calibrated Uncertainty to Trusted Decisions |
Monday, February 19
Time: 12:00-1:00 pm
Location: G50 Huntsman Hall |
Brian Trippe- Columbia University |
Probabilistic Methods for Designing Functional Protein Structures |
Wednesday, February 21
Time: 12:00-1:00 pm
Location: F70 Huntsman Hall |
Shuangning Li- Harvard University |
Inference and Decision-Making amid Social Interactions |
Wednesday, February 28
Time: 12:00-1:00 pm
Location: F70 Huntsman Hall |
Michael Celentano- University of California, Berkeley |
High-dimensional Statistics in the Inconsistency Regime |
Wednesday, March 13
Time: 12:00-1:00 pm
Location: F70 Huntsman Hall |
Jinchi Lv- University of Southern California |
SOFARI: High-Dimensional Manifold-Based Inference |
Wednesday, March 20
Time: 12:00-1:00 pm
Location: F70 Huntsman Hall |
Harrison Zhou – Yale School of Medicine |
Estimation for High-Dimensional Multi-Reference Alignment |
Wednesday, March 27
Time: 12:00-1:00 pm
Location: F70 Huntsman Hall |
Richard Samworth- University of Cambridge |
Optimal Convex Loss Selection Via Score Matching |
Wednesday, April 3
Time: 12:00-1:00 pm
Location: F70 Huntsman Hall |
Adam Smith – Boston University |
Privacy in Machine Learning and Statistical Inference |
Wednesday, April 10
Time: 12:00-1:00 pm
Location: F60 Huntsman Hall |
Cynthia Rudin – Duke University |
Simpler Machine Learning Models for a Complicated World |
Wednesday, April 17
Time: 12:00-1:00 pm
Location: F60 Huntsman Hall |
Matteo Sesia – USC Marshall |
Adaptive Conformal Classification with Noisy Labels |
Thursday, April 18
Time: 10:15-11:15 am
Location: F95 JMHH |
Damek Davis- Cornell University |
Nonconvex Optimization for Statistical Estimation and Learning: Beyond Smoothness and Convexity |
Friday, April 26
Time: 12:00-1:00 pm
Location: 370 JMHH |
Stefan Wager- Stanford University |
Learning from a Biased Sample |
Monday, April 29
Time: 12:00-1:00 pm
Location: 365 JMHH |
Bodhisattva Sen – Columbia University |
Extending the Scope of Nonparametric Empirical Bayes |
Thursday, May 2
Time: 10:15-11:15 am
Location: G65 JMHH |
Adel Javanmard – USC Marshall |
Theoretical Insights into Wide Neural Networks: Optimization, Generalization and Robustness |
Wednesday, May 15
Time: 12:00-1:00 pm
Location: 401 ARB |
Sam Oman – Hebrew University of Jerusalem |
Kriging Using James-Stein Estimators which Contract to Subspaces |
