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9:15 - 9:30  Introductory remarks
 9:30 - 10:20 Lightning talks I (5 minutes each)
 
 Bayram Sahin,  Algorithmic Phase Transition for the Largest Independent Set Problem in Dense Hypergraphs
 Kaihong Zhang, General Kth-order Langevin dynamics sampling
 Haoyu Jiang, Simulation-based Inference via Langevin Dynamics with Score Matching
 Han Cui, A Black-Box Debiasing Framework for Conditional Sampling
 Linjun Huang, Testing Conditional Mean Independence Using Generative Neural Networks
 Chenyang Wang, PAC-Bayes Bounds for Gibbs Posteriors via Singular Learning Theory
 
 10:20 - 10:30 Break
 10:30 - 11:30 40th Birthday Lecture (Mikhail Belkin)
 11:30 - 11:40 Break
 11:40 - 12:30 Lightning talks II (5 minutes each)
 
 Diptanil Santra, Distributional Balancing for Causal Inference: A Unified Framework via Characteristic Function Distance
 Haoran Zhang, Sliced Wasserstein Distributional Balancing for Causal Inference
 Zhaohao Su, Synergetic Random Forests for Off-Policy Evaluation in Reinforcement Learning
 Young Joo Lee, Estimating Treatment Effects in Spatial Transcriptomics via Causal Transfer Learning of Soft Interventions
 Adam Tonks, Confounding effects via spatially-varying demographic factors upon West Nile virus surveillance in Illinois identified using a Bayesian functional data analysis model
 Yinan Cheng, LOCO-AdaMP: Adaptive Minipatch Ensembles for Feature Importance Inference
 
 12:30 - 1:20 Lunch
 1:20 - 2:20 Wijsman lecture (Kosuke Imai)
 2:20 - 2:30 Break
 2:30 - 3:20 Lightning talks III (5 minutes each)
 
 Deep Ghosal, Inference for Change Point in Marginal Distribution of High Dimensional Time Series
 Arghya Chakraborty, Sequential Change Detection with Controlled Sensing and general Composite Hypothesis
 Rajdeep Brahma, Two-Sample Hypothesis Testing for Subspace Equality in Network Data
 Dimitrios Mandravelis, Collaborations as Structural Shocks: Forecasting the Revenue Impact of Influencer Partnerships
 Huaning Liu, Incorporating Authority Perception, Economic Status, and Behavioral Response in Infectious Disease Control
 Jun Hee Kim, Context-Adjusted Statistics for Negro League Players via Full House Modeling
 
 3:30 - 4:20 Norton Prize session
 4:20 - 4:30 Break
 4:30 - 5:30 Bohrer Lecture (David Dunson)
 5:30 - 6:30 Award presentations and poster session
 6:30 - 8:00 Dinner