probability metrics

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optimal transport (945) kernel methods (1096) wasserstein distance (417) feature learning (1309) sliced wasserstein distance (28) neural network theory (35) fair classification (54) monte carlo estimation (34) gradient descent (1143) markov chain (207)

Papers

Markovian Sliced Wasserstein Distances: Beyond Independent Projections NIPS 2023

Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NIPS 2021

Tree-Sliced Variants of Wasserstein Distances NIPS 2019

Maximum Mean Discrepancy Gradient Flow NIPS 2019

Obtaining Fairness using Optimal Transport Theory ICML 2019