Recorded Talks Filter by - Any -Computational Complexity of Statistical Interference Boot CampFoundational Research SeminarJoint IFML/CCSI SymposiumtinyML TalksUse-Inspired Research SeminarEthics/Fairness in AI SeminarWorkshopML+ X SeminarDistinguished Speaker SeminarPrivacy in AI Seminar Evaluating AI-based MR image reconstruction models: lessons from the fastMRI project Matthew Muckley A Data-Centric View On Robustness Ludwig Schmidt (University of Washington) On the Power of Differentiable Learning Nathan Srebro (Toyota Technological Institute at Chicago) Yes, Generative Models are the New Sparsity Alex Dimakis, UT Austin The Surprising Power of the Lenstra-Lenstra-Lovasz Algorithm for Noiseless Inference Ilias Zadik (MIT) Learning and Optimization With Adaptive Smoothed Adversaries Nika Haghtalab (UC Berkeley) Scalable and Reliable Inference for Probabilistic Modeling Ruqi Zhang (UT Austin) The Planted Matching Problem: Sharp Threshold and Infinite-Order Phase Transition Dana Yang (Simons Institute) Function Space View of Bounded Weight Norm Networks Suriya Gunasekar (Microsoft Research) Optimal Control for Electroceutical Therapies Joshua Chang, M.D., Ph.D., Assistant Professor, Department of Neurology, The University of Texas at Austin Pagination First page Previous page Previous Page 1 Page 2 Current page 3