research
∙
05/27/2023
Online Nonstochastic Model-Free Reinforcement Learning
In this work, we explore robust model-free reinforcement learning algori...
share
research
∙
11/05/2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
Saliency methods compute heat maps that highlight portions of an input t...
research
∙
10/03/2022
Understanding Influence Functions and Datamodels via Harmonic Analysis
Influence functions estimate effect of individual data points on predict...
research
∙
11/28/2021
On Predicting Generalization using GANs
Research on generalization bounds for deep networks seeks to give ways t...
research
∙
05/26/2020
Inherent Noise in Gradient Based Methods
Previous work has examined the ability of larger capacity neural network...
research
∙
05/27/2019
A Simple Saliency Method That Passes the Sanity Checks
There is great interest in *saliency methods* (also called *attribution ...
research
∙
02/04/2018
Non-Gaussian information from weak lensing data via deep learning
Weak lensing maps contain information beyond two-point statistics on sma...
research
∙
06/02/2017
