43 citations · 280 across the 42 of their papers we have counts for
4 papers · 1 filter
What is the objective of reasoning with reinforcement learning?
Damek Davis, Benjamin Recht
We show that several popular algorithms for reinforcement learning in large language models with binary rewards can be viewed as stochastic gradient ascent on a monotone transform…
Iteratively reweighted kernel machines efficiently learn sparse functions
Libin Zhu, Damek Davis, Dmitriy Drusvyatskiy +1
The impressive practical performance of neural networks is often attributed to their ability to learn low-dimensional data representations and hierarchical structure directly from…
Spectral norm bound for the product of random Fourier-Walsh matrices
Libin Zhu, Damek Davis, Dmitriy Drusvyatskiy +1
We consider matrix products of the form , where are normalized random Fourier-Walsh matrices. We identify an interesting polyn…
Online Covariance Estimation in Nonsmooth Stochastic Approximation
Liwei Jiang, Abhishek Roy, Krishna Balasubramanian +3
We consider applying stochastic approximation (SA) methods to solve nonsmooth variational inclusion problems. Existing studies have shown that the averaged iterates of SA methods e…