Newsroom
Machine Learning
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FDS Seminar: Lingjing Kong (CMU), “Causal AI for Transferable, Interpretable, and Controllable Machine Learning”
Zoom Password: 123 Abstract: Foundation models are rapidly becoming capable assistants for knowledge work, but their deployment in real settings is limited by three […]
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FDS Colloquium: Cynthia Rudin (Duke), “Many Good Models Leads To…”
Abstract: As it turns out, many good models leads to amazing things! The Rashomon Effect, coined by Leo Breiman, describes the phenomenon that there […]
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Lu Lu on MIT Technology Review’s Innovators Under 35 list
We are proud to announce that Prof. Lu Lu has been named to the MIT Technology Review’s Innovators Under 35 list for the Asia […]
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Dissertation Defense: Anay Mehrotra, “Learning Theory in the Wild: Foundations of Missing Data and Language Generation”
Abstract: What can be learned from data? This fundamental question in machine learning takes on new complexity in modern pipelines where classical assumptions fail—both […]
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FDS Colloquium: Lorenzo Orecchia (Chicago), “Variational Characterizations of First-Order Algorithms via Self-Duality”
Talk summary: First-order methods for convex optimization play an important role in the efficient deployment of machine learning algorithms. While a large number of […]