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Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process
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ICML 2024 Tutorial: Physics of Language Models
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Physics of Language Models: Part 1, Context-Free Grammar
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Physics of Language Models: Part 3.1 + 3.2, Knowledge Storage, Extraction and Manipulation
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Why Does Deep Learning Perform Deep Learning - MSR AI Seminar 08/11/2020
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Backward Feature Correction: How Deep Learning Performs Deep Learning (May 2020 by Yuanzhi Li)
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Optimal Experimental Design via A New Regret Minimization Framework
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How to Swing By Saddle Points: Faster Non-Convex Optimization Than SGD
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ICML 2017 Tutorial: Recent Advances in Stochastic Convex and Non-Convex Optimization (audio fixed)
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First Efficient Convergence for Streaming k-PCA: a Global, Gap-Free, and Near-Optimal Rate
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ICML 2017 Tutorial: Recent Advances in Stochastic Convex and Non-Convex Optimization
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Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter
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Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU
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Optimal Black-Box Reductions Between Optimization Objectives
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LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
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Three ICML 2016 Talks on Optimization
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Nearly-Linear Time Positive LP Solver with Faster Convergence Rate (STOC 2015)
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Using Optimization to Solve Positive LPs Faster in Parallel
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Linear Coupling of Gradient and Mirror Descent
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Knightian Self Uncertainty in the VCG Mechanism for Unrestricted Combinatorial Auctions
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