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Last updated about 2 years ago
about 2 years ago
The ability of large neural networks to generalize is commonly believed to...
over 2 years ago
A central problem of generalization theory is the following: Given a training...
almost 3 years ago
TL;DR A lot was said in this blog (cf. post by Sanjeev)...
over 3 years ago
In effort to understand implicit regularization in deep learning, a lot of...
over 3 years ago
Can you trust a model whose designer had access to the test/holdout...
over 3 years ago
The empirical success of deep learning has posed significant challenges to machine...
over 3 years ago
In the first post of this series, we introduced the challenges of...
over 3 years ago
In our previous blog post, we introduced the challenges of sampling distributions...
almost 4 years ago
This post is based on my recent paper with Noam Razin (to...
almost 4 years ago
Today’s online world and the emerging internet of things is built around...
almost 4 years ago
You may remember our previous blog post showing that it is possible...
about 4 years ago
layout: post title: Beyond log-concave sampling date: 2020-09-18 14:00:00 summary: Beyond log-concave...