Emmanuel Candès: Statistical methods for assessing the factual accuracy of large language models
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Jing Lei: Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
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Andrew Gelman: Learning from mistakes
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Terence Tao - Machine-Assisted Proofs (February 19, 2025)
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Emmanuel Candès: “The Knockoffs Framework: New Statistical Tools for Replicable Selections”
59:00
Adel Javanmard: Learning from aggregated responses-Improving model utility under privacy constraints
59:20
Weijie Su: How Statistics Can Advance Large Language Models: Fairness Alignment and Watermarking
11:48
'My jaw is dropped': Canadian official's interview stuns Amanpour
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