Yu-Xiang Wang
Publishes 3 feeds
Convex Optimization Spring 2020
15 posts · theirs
StatRL Spring 2021
15 posts · theirs
Differential Privacy Fall 2021
15 posts · theirs
Lately
[CS 291A 2021 Fall] Differential Privacy Lecture 13: NoisySGD (Part II) and Private Deep Learning
[CS292F 2020 Spring] Convex Optimization: Lecture 15 Follow the Regularized Leader
[CS292F 2020 Spring] Convex Optimization: Lecture 14 Online (Projected) Gradient Descent
[CS292F 2020 Spring] Convex Optimization: Lecture 13 Learning from Expert Advice
[CS292F 2020 Spring] Convex Optimization: Lecture 12 Interior Point Methods
[CS292F 2020 Spring] Convex Optimization: Lecture 11 Newton's Method
[CS292F 2020 Spring] Convex Optimization: Lecture 10 KKT Conditions and Usage of Duality
[CS292F 2020 Spring] Convex Optimization: Lecture 9 Duality
[CS292F 2020 Spring] Convex Optimization: Lecture 8 Stochastic (Sub)gradient Method
[CS292F 2020 Spring] Convex Optimization: Lecture 7 Proximal Gradient Descent (Part II)
[CS292F 2020 Spring] Convex Optimization: Lecture 6 Subgradient Method and Proximal Gradient Descent
[CS292F 2020 Spring] Convex Optimization: Lecture 5 Subgradient
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