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06/12/2023
Unbalanced Optimal Transport meets Sliced-Wasserstein
Optimal transport (OT) has emerged as a powerful framework to compare pr...
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06/07/2022
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
The Sliced-Wasserstein distance (SW) is a computationally efficient and ...
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06/29/2021
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
The Sliced-Wasserstein distance (SW) is being increasingly used in machi...
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03/12/2020
Statistical and Topological Properties of Sliced Probability Divergences
The idea of slicing divergences has been proven to be successful when co...
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02/28/2020
Generalized Sliced Distances for Probability Distributions
Probability metrics have become an indispensable part of modern statisti...
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10/28/2019
Approximate Bayesian Computation with the Sliced-Wasserstein Distance
Approximate Bayesian Computation (ABC) is a popular method for approxima...
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07/11/2019
Safe Policy Improvement with Soft Baseline Bootstrapping
Batch Reinforcement Learning (Batch RL) consists in training a policy us...
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06/11/2019
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Minimum expected distance estimation (MEDE) algorithms have been widely ...
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02/01/2019
