54 citations · 108 across the 20 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2022
Learning with Stochastic Orders
Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
Learning high-dimensional distributions is often done with explicit likelihood modeling or implicit modeling via minimizing integral probability metrics (IPMs). In this paper, we e…
stat.ML2021★ 8 cited
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
David Alvarez-Melis, Yair Schiff, Youssef Mroueh
Gradient flows are a powerful tool for optimizing functionals in general metric spaces, including the space of probabilities endowed with the Wasserstein metric. A typical approach…