5 citations · 5 across the 1 of their papers we have counts for
2 papers
math.OC2021★ 5 cited
Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization
Karan Chadha, Gary Cheng, John C. Duchi
We extend the Approximate-Proximal Point (aProx) family of model-based methods for solving stochastic convex optimization problems, including stochastic subgradient, proximal point…
cs.LG2018
Greedy Frank-Wolfe Algorithm for Exemplar Selection
Gary Cheng, Armin Askari, Kannan Ramchandran +1
In this paper, we consider the problem of selecting representatives from a data set for arbitrary supervised/unsupervised learning tasks. We identify a subset of a data set …