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Latest posts
Last updated over 2 years ago
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Networks
over 2 years ago
The ability of large neural networks to generalize is commonly believed to...
Predicting Generalization using GANs
over 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?
almost 3 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?
over 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
over 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?
over 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?
almost 4 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
about 4 years ago
Today’s online world and the emerging internet of things is built around...
Mismatches between Traditional Optimization Analyses and Modern Deep Learning
about 4 years ago
You may remember our previous blog post showing that it is possible...
Beyond log-concave sampling
about 4 years ago
layout: post title: Beyond log-concave sampling date: 2020-09-18 14:00:00 summary: Beyond log-concave...