wasserstein distance

GOT: An Optimal Transport framework for Graph comparison NeurIPS 2019 Hierarchical Optimal Transport for Multimodal Distribution Alignment NeurIPS 2019 Large-scale optimal transport map estimation using projection pursuit NeurIPS 2019 Learning to Match via Inverse Optimal Transport JMLR 2019 Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets AAAI 2019 Massively scalable Sinkhorn distances via the Nyström method NeurIPS 2019 Multi-marginal Wasserstein GAN NeurIPS 2019 Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NeurIPS 2019 Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation ICCV 2019 Optimal Transport: Fast Probabilistic Approximation with Exact Solvers JMLR 2019 Order-Preserving Wasserstein Discriminant Analysis ICCV 2019 Ornstein Auto-Encoders IJCAI 2019 Orthogonal Estimation of Wasserstein Distances AISTATS 2019 Parallel Optimal Transport GAN CVPR 2019 Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators IJCAI 2019 Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NeurIPS 2019 Quantum Wasserstein Generative Adversarial Networks NeurIPS 2019 Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019 Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees AISTATS 2019 Sinkhorn AutoEncoders UAI 2019 Sliced Gromov-Wasserstein NeurIPS 2019 Sliced Wasserstein Auto-Encoders ICLR 2019 Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation CVPR 2019 Statistical Optimal Transport via Factored Couplings AISTATS 2019 Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NeurIPS 2019