We study the implicit regularization of gradient descent towards structu...
In this paper, we study the implicit bias of gradient descent for sparse...
Deep generative models have emerged as a powerful class of priors for si...
Surrogate models for partial-differential equations are widely used in t...
Showing items that do not match search query intent degrades customer
ex...
A remarkable recent discovery in machine learning has been that deep neu...
Recent progress in learning theory has led to the emergence of provable
...
Most existing algorithms for dictionary learning assume that all entries...
We introduce a new, systematic framework for visualizing information flo...
Sparse coding is a crucial subroutine in algorithms for various signal
p...