optimal transport

Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance NeurIPS 2019 Differentiable Convex Optimization Layers NeurIPS 2019 Differentiable Ranking and Sorting using Optimal Transport NeurIPS 2019 Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019 Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach ALT 2019 Discriminator optimal transport NeurIPS 2019 DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS ICLR 2019 Estimation of smooth densities in Wasserstein distance COLT 2019 Feature Intertwiner for Object Detection ICLR 2019 Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer NeurIPS 2019 Generalized Sliced Wasserstein Distances NeurIPS 2019 Generalizing the theory of cooperative inference AISTATS 2019 Geometric Losses for Distributional Learning ICML 2019 GOT: An Optimal Transport framework for Graph comparison NeurIPS 2019 Gromov-Wasserstein Learning for Graph Matching and Node Embedding ICML 2019 Guiding the One-to-One Mapping in CycleGAN via Optimal Transport AAAI 2019 Hierarchical Optimal Transport for Document Representation NeurIPS 2019 Hierarchical Optimal Transport for Multimodal Distribution Alignment NeurIPS 2019 Improving Cross-lingual Entity Alignment via Optimal Transport IJCAI 2019 Improving Sequence-to-Sequence Learning via Optimal Transport ICLR 2019 Improving Textual Network Embedding with Global Attention via Optimal Transport ACL 2019 Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem NeurIPS 2019 Interpolating between Optimal Transport and MMD using Sinkhorn Divergences AISTATS 2019 Large-scale optimal transport map estimation using projection pursuit NeurIPS 2019 Learning Embeddings into Entropic Wasserstein Spaces ICLR 2019