Chenyu You – Links

Suggestions on Graduate Study

• A Survival Guide to a PhD by Andrej Karpathy @Tesla

• A List of Suggestions to Graduate Students by Professor Minghua Chen @CUHK

Selected Course Websites Related to Machine Learning

• CS229: Machine Learning by Professor Andrew Ng @Stanford

• CS231n: Convolutional Neural Networks for Visual Recognition by Professor Fei-Fei Li @Stanford

• CS224n: Natural Language Processing with Deep Learning by Professor Chris Manning @Stanford

• CS294-112: Deep Reinforcement Learning Professor Sergey Levine @UC Berkeley

• Representation Learning on Networks by Professor Jure Leskovec @Stanford

• Intro to Graph Neutral Networks by Thomas Kipf @University of Amsterdam

Selected Course Websites Related to Optimization

• A Series of Courses about Optimization by Professor Stephen Boyd @Stanford

• A Series of Courses about Optimization by Professor Lieven Vandenberghe @UCLA

• Convex Optimization and Approximation by Professor Moritz Hardt @UC Berkeley

• Interplay between Convex Optimization and Geometry by Professor Yin Tat Lee @UW-Seattle

Other Resources on Optimization

• Provable Nonconvex Methods/Algorithms by Ju Sun @Stanford

• Lecture video series in Simons Institute for the Theory of Computing, UC Berkeley

• Lecture videos and slides of the “Bridging Mathematical Optimization, Information Theory, and Data Science” workshop at Princeton, May 2018.

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