307 citations · 693 across the 70 of their papers we have counts for
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math.OC2020★ 2 cited
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…
math.OC2020★ 1 cited
Subgradient Regularized Multivariate Convex Regression at Scale
Wenyu Chen, Rahul Mazumder
We present new large-scale algorithms for fitting a subgradient regularized multivariate convex regression function to samples in dimensions -- a key problem in shape const…