4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.LG2018
Sparsemax and Relaxed Wasserstein for Topic Sparsity
Tianyi Lin, Zhiyue Hu, Xin Guo
Topic sparsity refers to the observation that individual documents usually focus on several salient topics instead of covering a wide variety of topics, and a real topic adopts a n…
stat.ML2017★ 4 cited
Ambiguity set and learning via Bregman and Wasserstein
Xin Guo, Johnny Hong, Nan Yang
Construction of ambiguity set in robust optimization relies on the choice of divergences between probability distributions. In distribution learning, choosing appropriate probabili…