Subgradient Method Examples

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.

We formulate the

In this video we start looking at non-smooth

Neither the lasso nor the SVM objective

We show two useful properties of the

Definition

... the

First, the

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Well let's see this in action for a very simple

Chapter 5: Convex Numerical algorithms 5.1: The

Ryan Tibshirani @ Stats, CMU. http://www.stat.cmu.edu/~ryantibs/convexopt/

Visual and intuitive overview of the

Okay so that was the end of our

...

... b number square using this property we have this and again we can replace this by the

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Lecture by Professor Stephen Boyd for Convex

... proximal