6 citations · 19 across the 11 of their papers we have counts for
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math.OC2019★ 6 cited
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem
Dongdong Ge, Haoyue Wang, Zikai Xiong +1
Computing the Wasserstein barycenter of a set of probability measures under the optimal transport metric can quickly become prohibitive for traditional second-order algorithms, suc…
stat.ML2019★ 3 cited
Solving L1-regularized SVMs and related linear programs: Revisiting the effectiveness of Column and Constraint Generation
Antoine Dedieu, Rahul Mazumder, Haoyue Wang
The linear Support Vector Machine (SVM) is a classic classification technique in machine learning. Motivated by applications in modern high dimensional statistics, we consider pena…