1 citations · 2 across the 2 of their papers we have counts for
3 papers
stat.ML2022★ 1 cited
The Many Faces of Adversarial Risk
Muni Sreenivas Pydi, Varun Jog
Adversarial risk quantifies the performance of classifiers on adversarially perturbed data. Numerous definitions of adversarial risk -- not all mathematically rigorous and differin…
cs.LG2019
Adversarial Risk via Optimal Transport and Optimal Couplings
Muni Sreenivas Pydi, Varun Jog
Modern machine learning algorithms perform poorly on adversarially manipulated data. Adversarial risk quantifies the error of classifiers in adversarial settings; adversarial class…
cs.LG2019★ 1 cited
Active Learning with Importance Sampling
Muni Sreenivas Pydi, Vishnu Suresh Lokhande
We consider an active learning setting where the algorithm has access to a large pool of unlabeled data and a small pool of labeled data. In each iteration, the algorithm chooses f…