![Lecture 7 (part 2): Subgradient method [out of focus]](https://i.ytimg.com/vi/2Lftnn1w8FA/mqdefault.jpg)
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Okay so i guess that'll end up that'll finish our Okay so that was the end of our I'm sorry for this video being out of focus. Please refer to the course website for slides and notes. Okay so these are kind of two classic results on the Ryan Tibshirani @ Stats, CMU. stat.cmu.edu/~ryantibs/convexopt/ Note: sound cuts out for last 20 minutes or so, sorry! University Of Washington: CSE 546 Machine Learning --------------------------IMPORTANT-------------------------- --The whole purpose ... We derive a fundamental inequality and derive from it the statement that the distance to any solution is convergent and in ...
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