wasserstein distance

Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond NeurIPS 2019 Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections NeurIPS 2019 Subspace Robust Wasserstein Distances ICML 2019 The Randomized Midpoint Method for Log-Concave Sampling NeurIPS 2019 Three-Player Wasserstein GAN via Amortised Duality IJCAI 2019 Tree-Sliced Variants of Wasserstein Distances NeurIPS 2019 Wasserstein Adversarial Examples via Projected Sinkhorn Iterations ICML 2019 Wasserstein Dependency Measure for Representation Learning NeurIPS 2019 Wasserstein Fair Classification UAI 2019 Wasserstein GAN With Quadratic Transport Cost ICCV 2019 Wasserstein of Wasserstein Loss for Learning Generative Models ICML 2019 Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds AAAI 2019 Wasserstein Weisfeiler-Lehman Graph Kernels NeurIPS 2019 A Convex Duality Framework for GANs NeurIPS 2018 A Two-Step Computation of the Exact GAN Wasserstein Distance ICML 2018 Banach Wasserstein GAN NeurIPS 2018 Computing Kantorovich-Wasserstein Distances on d-dimensional histograms using (d+1)-partite graphs NeurIPS 2018 Demystifying MMD GANs ICLR 2018 Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance NeurIPS 2018 Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds NeurIPS 2018 Distilled Wasserstein Learning for Word Embedding and Topic Modeling NeurIPS 2018 First Order Generative Adversarial Networks ICML 2018 Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions NeurIPS 2018 Generative Modeling Using the Sliced Wasserstein Distance CVPR 2018 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning IJCAI 2018