optimal transport

Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019 Linear-Complexity Data-Parallel Earth Mover’s Distance Approximations ICML 2019 Lower Bounds on Adversarial Robustness from Optimal Transport NeurIPS 2019 Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets AAAI 2019 Massively scalable Sinkhorn distances via the Nyström method NeurIPS 2019 Max-Sliced Wasserstein Distance and Its Use for GANs CVPR 2019 Monge blunts Bayes: Hardness Results for Adversarial Training ICML 2019 Multi-marginal Wasserstein GAN NeurIPS 2019 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NeurIPS 2019 Obtaining Fairness using Optimal Transport Theory ICML 2019 On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms ICML 2019 On Scalable and Efficient Computation of Large Scale Optimal Transport ICML 2019 On the Complexity of Approximating Wasserstein Barycenters ICML 2019 Optimal Transport-based Alignment of Learned Character Representations for String Similarity ACL 2019 Optimal Transport: Fast Probabilistic Approximation with Exact Solvers JMLR 2019 Optimal Transport for Multi-source Domain Adaptation under Target Shift AISTATS 2019 Optimal Transport for structured data with application on graphs ICML 2019 Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models ICLR 2019 Oversampling for Imbalanced Data via Optimal Transport AAAI 2019 Parallel Optimal Transport GAN CVPR 2019 Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019 Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching NeurIPS 2019 Scalable Thompson Sampling via Optimal Transport AISTATS 2019 Screening Sinkhorn Algorithm for Regularized Optimal Transport NeurIPS 2019 Sinkhorn AutoEncoders UAI 2019