13 citations · 29 across the 4 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
stat.ML2020★ 6 cited
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
Chen Dan, Yuting Wei, Pradeep Ravikumar
Adversarial robustness has become a fundamental requirement in modern machine learning applications. Yet, there has been surprisingly little statistical understanding so far. In th…
stat.ML2020★ 13 cited
Class-Weighted Classification: Trade-offs and Robust Approaches
Ziyu Xu, Chen Dan, Justin Khim +1
We address imbalanced classification, the problem in which a label may have low marginal probability relative to other labels, by weighting losses according to the correct class. F…
cs.LG2020
Learning Complexity of Simulated Annealing
Avrim Blum, Chen Dan, Saeed Seddighin
Simulated annealing is an effective and general means of optimization. It is in fact inspired by metallurgy, where the temperature of a material determines its behavior in thermody…