Exploring Lecture 6 Gradient Descent Continued Subgradients
Exploring Lecture 6 Gradient Descent Continued Subgradients reveals several interesting facts.
- Neither the lasso nor the SVM objective function is differentiable, and we had to do some work for each to optimize with ...
- 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.
- But last time you guys did
- proof of
- Dimitri Bertsekas: "Incremental Gradient, Subgradient, and Proximal Methods for Convex Optimization"
In-Depth Information on Lecture 6 Gradient Descent Continued Subgradients
Okay so that this rest of today's Ryan Tibshirani @ Stats, CMU. http://www.stat.cmu.edu/~ryantibs/convexopt/ This is a recorded Note: sound cuts out for last 20 minutes or so, sorry!
Ryan Tibshirani @ Stats, CMU. http://www.stat.cmu.edu/~ryantibs/convexopt/
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