Optimal Transport

A Fast Proximal Point Method for Computing Exact Wasserstein Distance UAI 2019 A Graph Theoretic Additive Approximation of Optimal Transport NeurIPS 2019 Alleviating Label Switching with Optimal Transport NeurIPS 2019 Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering RSS 2019 Differentiable Ranking and Sorting using Optimal Transport NeurIPS 2019 Estimation of smooth densities in Wasserstein distance COLT 2019 Generalized Sliced Wasserstein Distances NeurIPS 2019 Hierarchical Optimal Transport for Document Representation NeurIPS 2019 Hierarchical Optimal Transport for Multimodal Distribution Alignment NeurIPS 2019 Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem NeurIPS 2019 Learning Embeddings into Entropic Wasserstein Spaces ICLR 2019 Learning to Match via Inverse Optimal Transport JMLR 2019 Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019 Lower Bounds on Adversarial Robustness from Optimal Transport NeurIPS 2019 Massively scalable Sinkhorn distances via the Nyström method NeurIPS 2019 Max-value Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2019 Multi-marginal Wasserstein GAN NeurIPS 2019 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NeurIPS 2019 On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons NeurIPS 2019 Optimal Transport-based Alignment of Learned Character Representations for String Similarity ACL 2019 Optimal Transport: Fast Probabilistic Approximation with Exact Solvers JMLR 2019 Order-Preserving Wasserstein Discriminant Analysis ICCV 2019 Orthogonal Estimation of Wasserstein Distances AISTATS 2019 Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching NeurIPS 2019 Scalable Thompson Sampling via Optimal Transport AISTATS 2019