Andrew Gelman: Learning from mistakes
59:26
Mladen Kolar: Adaptive Stochastic Optimization with Constraints
57:29
Emmanuel Candès: Statistical methods for assessing the factual accuracy of large language models
59:20
Weijie Su: How Statistics Can Advance Large Language Models: Fairness Alignment and Watermarking
1:00:24
Runze Li: High-Dimensional Statistical Inference
53:35
Nathaniel O’Connell: A Comparison of Methods of Cross-Validation for Small Data
50:22
Rui Song: On causal decision making
1:03:52
Jing Lei: Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
51:19