Aug 17, 2023 · ... not multiple layers mostly. There is this result that ... sparse, finding that basis could itself ...
Duration: 1:12:05
Posted: Aug 17, 2023

Nov 23, 2011 · ... regularization (kernels), prediction uncertainty (Gaussian processes), L1 regularization ...
Duration: 1:00:11
Posted: Nov 23, 2011

Jul 11, 2018 · Lecture Notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote10.html.
Duration: 52:30
Posted: Jul 11, 2018

Nov 23, 2011 · ... regularization (kernels), prediction uncertainty (Gaussian processes), L1 regularization ...
Duration: 54:07
Posted: Nov 23, 2011

Dec 3, 2021 · ... training examples. I will present applications of this theory to artificial and ... Sparsity for ...
Duration: 1:05:17
Posted: Dec 3, 2021

May 5, 2020 · Research shows that 58% of data scientists are not optimizing their deep learning models for ...
Duration: 24:35
Posted: May 5, 2020

Jan 20, 2022 · Nadav Cohen: "Implicit Regularization in Deep Learning: Lessons Learned from Matrix ...
Duration: 1:08:19
Posted: Jan 20, 2022

Jul 5, 2019 · Specifically, this perspective (i) provides a common umbrella for many existing regularization ...
Duration: 55:19
Posted: Jul 5, 2019

Jun 9, 2021 · So this is kind of remarkable because BV2 is much larger than the Sobolev space, but it still is just ...
Duration: 53:30
Posted: Jun 9, 2021

Aug 21, 2020 · LORENZO ROSASCO: All right. Thanks, Chris and Gabriel. And it's always a pleasure-- I guess ...
Duration: 58:17
Posted: Aug 21, 2020