19 citations · 83 across the 16 of their papers we have counts for
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stat.ML2020
Pairwise Supervision Can Provably Elicit a Decision Boundary
Han Bao, Takuya Shimada, Liyuan Xu +2
Similarity learning is a general problem to elicit useful representations by predicting the relationship between a pair of patterns. This problem is related to various important pr…
stat.ML2020★ 10 cited
Calibrated Surrogate Losses for Adversarially Robust Classification
Han Bao, Clayton Scott, Masashi Sugiyama
Adversarially robust classification seeks a classifier that is insensitive to adversarial perturbations of test patterns. This problem is often formulated via a minimax objective,…