1 citations · 2 across the 4 of their papers we have counts for
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A Light-speed Linear Program Solver for Personalized Recommendation with Diversity Constraints
Haoyue Wang, Miao Cheng, Kinjal Basu +3
We study a structured linear program (LP) that emerges in the need of ranking candidates or items in personalized recommender systems. Since the candidate set is only known in real…
Frank-Wolfe Methods with an Unbounded Feasible Region and Applications to Structured Learning
Haoyue Wang, Haihao Lu, Rahul Mazumder
The Frank-Wolfe (FW) method is a popular algorithm for solving large-scale convex optimization problems appearing in structured statistical learning. However, the traditional Frank…
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…
An Optimal High-Order Tensor Method for Convex Optimization
Bo Jiang, Haoyue Wang, Shuzhong Zhang
This paper is concerned with finding an optimal algorithm for minimizing a composite convex objective function. The basic setting is that the objective is the sum of two convex fun…