Jing Lei: Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
1:00:24
Runze Li: High-Dimensional Statistical Inference
1:05:53
Andrew Gelman: Learning from mistakes
53:35
Nathaniel O’Connell: A Comparison of Methods of Cross-Validation for Small Data
1:19:34
Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
1:07:10
Bikram Karmakar: A new paradigm for causal inference in the presence of unmeasured confounders
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
1:01:13