output
20142022
most citedStochastic Optimization for Large-scale Optimal Transport

147 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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3 papers · 1 filter

math.ST2022

Is interpolation benign for random forest regression?

Ludovic Arnould, Claire Boyer, Erwan Scornet

Statistical wisdom suggests that very complex models, interpolating training data, will be poor at predicting unseen examples.Yet, this aphorism has been recently challenged by the…

math.ST2021

Parameter tuning and model selection in optimal transport with semi-dual Brenier formulation

Adrien Vacher, François-Xavier Vialard

Over the past few years, numerous computational models have been developed to solve Optimal Transport (OT) in a stochastic setting, where distributions are represented by samples a…

math.ST2018★ 127 cited

Sample Complexity of Sinkhorn divergences

Aude Genevay, Lénaic Chizat, Francis Bach +2

Optimal transport (OT) and maximum mean discrepancies (MMD) are now routinely used in machine learning to compare probability measures. We focus in this paper on \emph{Sinkhorn div…