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Dimitri Bertsekas: Incremental Gradient, Subgradient, and Proximal Methods for Convex Optimization
CS769 - Lec 9, 3-2-2022 OptML: Subgradient Calculus Concluded, Convexity - Local and Global Minimum
Subgradient Method: Examples
3.1 Intro to Gradient and Subgradient Descent
Subgradient method
lecture 07: subgradient method
Subgradients of Convex Functions - Pt 1
Quasisecant Method: Subgradient Method for Nonconvex Nonsmooth Optimization
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Last Updated: October 16, 2026
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Summary
This video derives the oracle complexity of the Hope you will enjoy this video. I know my voiceover is lacking some emotion but i will try my best to improve that for my next video. I recommend you watch in 1.25x or 1.5x to not waste time. In this talk spanning about 36 minutes we discuss an issue which lies at the heart of modern Note: sound cuts out for last 20 minutes or so, sorry! This is a recorded lecture for the graduate-level course on In this video we start looking at non-smooth Ryan Tibshirani @ Stats, CMU. stat.cmu.edu/~ryantibs/convexopt/ In today's lecture I'm going to talk about sub gradients of This is a practice run of my masters seminar presentation at the working group for nonlinear