5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2020
Inherent Noise in Gradient Based Methods
Arushi Gupta
Previous work has examined the ability of larger capacity neural networks to generalize better than smaller ones, even without explicit regularizers, by analyzing gradient based al…
cs.LG2019★ 5 cited
A Simple Saliency Method That Passes the Sanity Checks
Arushi Gupta, Sanjeev Arora
There is great interest in "saliency methods" (also called "attribution methods"), which give "explanations" for a deep net's decision, by assigning a "score" to each feature/pixel…
math.ST2017
Parameter identification in Markov chain choice models
Arushi Gupta, Daniel Hsu
This work studies the parameter identification problem for the Markov chain choice model of Blanchet, Gallego, and Goyal used in assortment planning. In this model, the product sel…