18 citations · 32 across the 6 of their papers we have counts for
4 papers · 1 filter
Learning Minimax Estimators via Online Learning
Kartik Gupta, Arun Sai Suggala, Adarsh Prasad +2
We consider the problem of designing minimax estimators for estimating the parameters of a probability distribution. Unlike classical approaches such as the MLE and minimum distanc…
Revisiting Adversarial Risk
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan +1
Recent works on adversarial perturbations show that there is an inherent trade-off between standard test accuracy and adversarial accuracy. Specifically, they show that no classifi…
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad, Arun Sai Suggala, Sivaraman Balakrishnan +1
We provide a new computationally-efficient class of estimators for risk minimization. We show that these estimators are robust for general statistical models: in the classical Hube…
Vector-Space Markov Random Fields via Exponential Families
Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala +1
We present Vector-Space Markov Random Fields (VS-MRFs), a novel class of undirected graphical models where each variable can belong to an arbitrary vector space. VS-MRFs generalize…