optimal transport

Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality NeurIPS 2020 Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space AISTATS 2020 Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport ACL 2020 Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport AISTATS 2020 Regularized Optimal Transport is Ground Cost Adversarial ICML 2020 Regularized Wasserstein Means for Aligning Distributional Data AAAI 2020 Representation Learning via Adversarially-Contrastive Optimal Transport ICML 2020 Robust Density Estimation under Besov IPM Losses NeurIPS 2020 Robust Document Distance with Wasserstein-Fisher-Rao metric ACML 2020 Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation NeurIPS 2020 Scalable Nearest Neighbor Search for Optimal Transport ICML 2020 Self-labelling via simultaneous clustering and representation learning ICLR 2020 Semantic Correspondence as an Optimal Transport Problem CVPR 2020 Semantic Matching for Sequence-to-Sequence Learning EMNLP 2020 Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction EMNLP 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020 Sinkhorn Barycenter via Functional Gradient Descent NeurIPS 2020 Sinkhorn Natural Gradient for Generative Models NeurIPS 2020 Sinkhorn Regression IJCAI 2020 Smoothness and Stability in GANs ICLR 2020 Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold AAAI 2020 Spatio-temporal alignments: Optimal transport through space and time AISTATS 2020 Spread Divergence ICML 2020 Statistical Optimal Transport posed as Learning Kernel Embedding NeurIPS 2020 Stochastic Optimization for Regularized Wasserstein Estimators ICML 2020