Name: Optimization for ML and AI Seminar with Tengyu Ma (Stanford)
Start: 2026-01-30T11:00:00-08:00
End: 2026-01-30T12:00:00-08:00
Location: HDSI 123 and Virtual

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0 events 5 0 events, 5	0 events 6 0 events, 6	0 events 7 0 events, 7	0 events 8 0 events, 8	1 event 9 1 event, 9 11:00 - 12:00 Optimization for ML and AI Seminar: Randomized linear algebra with subspace injections January 9 @ 11:00 - 12:00 Optimization for ML and AI Seminar: Randomized linear algebra with subspace injections Joel Tropp, Caltech Abstract: To achieve the greatest possible speed, practitioners regularly implement randomized algorithms for low-rank approximation and least-squares regression with structured dimension reduction maps. This talk outlines a new perspective on structured dimension reduction, based on the injectivity properties of the dimension reduction map. This approach provides sharper bounds for sparse dimension reduction […]	0 events 10 0 events, 10	1 event 11 1 event, 11 2026-01-11 Gordon Research Conference on Embodied Intelligence Gordon Research Conference on Embodied Intelligence January 11 - January 16 Gordon Research Conference on Embodied Intelligence The Robotics GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes an array of speakers and discussion leaders from institutions and […]
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0 events 26 0 events, 26	0 events 27 0 events, 27	1 event 28 1 event, 28 11:00 - 12:00 TILOS-HDSI Seminar with Koushil Sreenath (UC Berkeley) January 28 @ 11:00 - 12:00 TILOS-HDSI Seminar with Koushil Sreenath (UC Berkeley) Title and abstract TBA... Koushil Sreenath is an Assistant Professor of Mechanical Engineering, at UC Berkeley. He received a Ph.D. degree in Electrical Engineering and Computer Science and a M.S. degree in Applied Mathematics from the University of Michigan at Ann Arbor, MI, in 2011. He was a Postdoctoral Scholar at the GRASP Lab at University […]	0 events 29 0 events, 29	1 event 30 1 event, 30 11:00 - 12:00 Optimization for ML and AI Seminar with Tengyu Ma (Stanford) January 30 @ 11:00 - 12:00 Optimization for ML and AI Seminar with Tengyu Ma (Stanford) Title and abstract TBA... Tengyu Ma is an assistant professor of computer science at Stanford University. His research interests broadly include topics in machine learning, algorithms and their theory, such as deep learning, (deep) reinforcement learning, pre-training / foundation models, robustness, non-convex optimization, distributed optimization, and high-dimensional statistics. Zoom: https://bit.ly/Opt-AI-ML	0 events 31 0 events, 31