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Lecture 6: Subgradients
Subgradients of Convex Functions - Pt 2
lecture 07: subgradient method
Subgradient method II: Fundamental inequality and distance to a solution
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Last Updated: October 23, 2026
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Summary
We show two useful properties of the Note: sound cuts out for last 20 minutes or so, sorry! 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. Note that X bar is in omega by the definition the indicator Ryan Tibshirani @ Stats, CMU. stat.cmu.edu/~ryantibs/convexopt/ So this is true so by the definition of We derive a fundamental inequality and derive from it the statement that the distance to any solution is convergent and in ... 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 convex In this video we start looking at non-smooth