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  • 2026-07-11 [Saturday]
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2026-07-11 (Saturday)

Qunsheng Room (UTC+8)

13:30-15:10 (UTC+8) | Recent Advances in Reinforcement Learning
Organizing Society：
IMS China
Organizer：
Cong Ma University of Chicago
Chair：
Cong Ma University of Chicago
NO. Beijing Time (UTC+8) Type Presentation Topic Speaker Affiliation / Organization
1 13:55-14:20 Invited Talk

What Should Post-Training Optimize? A Test-Time Scaling Law Perspective

 Muheng Li University of Toronto
2 14:20-14:45 Invited Talk

Acceleration for Diffusion Models: Theory and Practice

 Gen Li The Chinese University of Hong Kong
3 15:10-15:35 Invited Talk

From Nonparametric Statistics to LLM Reasoning

 Chengchun Shi London School of Economics and Political Science
4 15:35-16:00 Invited Talk

TBD

 Cong Ma University of Chicago
15:30-17:10 (UTC+8) | Recent Advances in Statistical Methods and Theory
Organizing Society：
IMS China
Organizer：
Cong Ma University of Chicago
Chair：
Cong Ma University of Chicago
NO. Beijing Time (UTC+8) Type Presentation Topic Speaker Affiliation / Organization
1 15:30-15:55 Invited Talk

Nonlinear Alignment and Joint Embedding of High-Dimensional Data

 Rong Ma Harvard University
2 15:55-16:20 Invited Talk

Aggregating Dependent Signals: Validity and Power of Heavy-Tailed Combination Tests

 Jingshu Wang University of Chicago
3 16:20-16:45 Invited Talk

Data Reconstruction: Identifiability and Optimization with Sample Splitting

 Qi Lei New York University
4 16:45-17:10 Invited Talk

A Model-Agnostic Ensemble Framework for Feature Selection via Adaptive Minipatch Subsampling

 Lili Zheng University of Illinois Urbana-Champaign
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