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Off the convex path

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Latest posts

Last updated almost 2 years ago

Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Networks

almost 2 years ago

The ability of large neural networks to generalize is commonly believed to...

Predicting Generalization using GANs

about 2 years ago

A central problem of generalization theory is the following: Given a training...

Does Gradient Flow Over Neural Networks Really Represent Gradient Descent?

over 2 years ago

TL;DR A lot was said in this blog (cf. post by Sanjeev)...

Implicit Regularization in Tensor Factorization: Can Tensor Rank Shed Light on Generalization in Deep Learning?

almost 3 years ago

In effort to understand implicit regularization in deep learning, a lot of...

Rip van Winkle's Razor, a Simple New Estimate for Adaptive Data Analysis

about 3 years ago

Can you trust a model whose designer had access to the test/holdout...

When are Neural Networks more powerful than Neural Tangent Kernels?

about 3 years ago

The empirical success of deep learning has posed significant challenges to machine...

Beyond log-concave sampling (Part 3)

over 3 years ago

In the first post of this series, we introduced the challenges of...

Beyond log-concave sampling (Part 2)

over 3 years ago

In our previous blog post, we introduced the challenges of sampling distributions...

Can implicit regularization in deep learning be explained by norms?

over 3 years ago

This post is based on my recent paper with Noam Razin (to...

How to allow deep learning on your data without revealing the data

over 3 years ago

Today’s online world and the emerging internet of things is built around...

Mismatches between Traditional Optimization Analyses and Modern Deep Learning

over 3 years ago

You may remember our previous blog post showing that it is possible...

Beyond log-concave sampling

over 3 years ago

layout: post title: Beyond log-concave sampling date: 2020-09-18 14:00:00 summary: Beyond log-concave...