Lecture4 04 Subgradient Algorithm

lecture4 04 subgradient algorithm

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.

To follow along with the course, visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of ...

Subgradients

Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on convex functions ...

We show two useful properties of the function values for the

Neither the lasso nor the SVM objective function is differentiable, and we had to do some work for each to optimize with ...

Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department.

We consider a new class of huge-scale problems, the problems with sparse

We formally introduce deep neural networks. We then study gradient descent

This video derives the oracle complexity of the

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

This is a recorded lecture for the graduate-level course on convex optimization offered at UCSB Computer Science Department.

If you find our videos helpful you can support us by buying something from amazon. https://www.amazon.com/?tag=wiki-audio-20 ...

This video derives the oracle complexity of the

In this video we start looking at non-smooth optimization. We take a look at the

This is a lecture video by the author (Masaaki Nagahara) of the text book M. Nagahara, Sparsity Methods for Systems and Control, ...

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai October ...

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