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Learning to Price Electricity for Optimal Demand Response
On October 24, 2025 at 11:00 am till 12:00 pm E18-304Stefan Wager, Stanford University
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Hard-Constrained Neural Networks
On October 17, 2025 at 11:00 am till 12:00 pm E18-304Navid Azizan, MIT
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Do Large Language Models (Really) Need Statistical Foundations?
On October 10, 2025 at 11:00 am till 12:00 pm E18-304Weijie Su, University of Pennsylvania
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Transformers Learn Generalizable Chain-of-Thought Reasoning via Gradient Descent
On October 3, 2025 at 11:00 am till 12:00 pm E18-304Yuejie Chi, Yale University
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TBD
On September 19, 2025 at 11:00 am till 12:00 pm E18-304Benjamin Recht, University of California – Berkeley
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TBD
On September 5, 2025 at 11:00 am till 12:00 pm E18-304Robert Nowak, University of Wisconsin-Madison
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TAP free energy, spin glasses, and vibrational inference
On July 7, 2025Abstract: We consider the Sherrington-Kirkpatrick model of spin glasses with ferromagnetically biased couplings. For a specific choice of the couplings mean, the resulting Gibbs measure is equivalent to the Bayesian posterior for a high-dimensional estimation problem known as Z2 synchronization. Statistical physics suggests to compute the expectation with respect to this Gibbs measure (the posterior…
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Topics in Information and Inference Seminar
On July 7, 2025This seminar consists of a series of lectures each followed by a period of informal discussion and social. The topics are at the nexus of information theory, inference, causality, estimation, and non-convex optimization. The lectures are intended to be tutorial in nature with the goal of learning about interesting and exciting topics rather than merely…
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Fundamental statistical limits in causal inference
On May 9, 2025 at 11:00 am till 12:00 pm E18-304Sivaraman Balakrishnan, Carnegie Mellon University
