Talk by Pranjal Awasthi (Google) (SIMONS-TCS-ML)
38:15Talk by Katrina Ligett (Hebrew University of Jerusalem) (SIMONS-TCS-ML)
36:41Efficient Algorithms for Reliable Machine Learning (SIMONS-TCS-ML)
37:26Computational Thinking on Learning Models (SIMONS-TCS-ML)
38:30On the Komlós Conjecture (SIMONS-TCS-ML)
33:41Multi-objective Learning: An Algorithmic Toolbox for Optimal Predictions Anytime Anywhere! (SIMONS-TCS-ML)
37:40Approximately Packing Dijoins Via Nowhere-Zero Flows (SIMONS-TCS-ML)
33:46Lightning Talks! (SIMONS-TCS-ML)
56:01Venturing out into the world with AI (SIMONS-TCS-ML)
44:41Unfamiliar Terrain (SIMONS-TCS-ML)
29:51Astral Space: Convex Analysis at Infinity (SIMONS-TCS-ML)
44:01AI and Safety (SIMONS-TCS-ML)
29:26The Role of TCS in Understanding (AI) Consciousness (SIMONS-TCS-ML)
43:21The Conscious Turing Machine (CTM), a formally defined Theoretical model of Consciousness (SIMONS-TCS-ML)
45:00Theory of Modern AI: Learning Theoretic, Game Theoretic, and Algorithmic Perspectives (SIMONS-TCS-ML)
40:41An Occam's Razor Principle for Transformers? (SIMONS-TCS-ML)
39:55Red Points and Blue Points (SIMONS-TCS-ML)
38:15Latent Variable models and Subset Smoothing (SIMONS-TCS-ML)
29:26Enhanced and Efficient Reasoning in Large Language Models (SIMONS-TCS-ML)
36:16Unfamiliar Terrain (SIMONS-TCS-ML)
Prabhakar Raghavan explores challenges and novel approaches in navigating new data landscapes and problem domains within the field of modern machine learning.
Prabhakar Raghavan (Google)
The Role of TCS in Modern Machine Learning
Venturing out into the world with AI (SIMONS-TCS-ML)
Next · Lecture 11Astral Space: Convex Analysis at Infinity (SIMONS-TCS-ML)
Seminar notes & discussion
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