Optimal Transport

Gradient descent algorithms for Bures-Wasserstein barycenters COLT 2020 Gromov-Wasserstein Factorization Models for Graph Clustering AAAI 2020 Improving Text Generation with Student-Forcing Optimal Transport EMNLP 2020 Learning the Geometry of Wave-Based Imaging NeurIPS 2020 Learning transport cost from subset correspondence ICLR 2020 Linear Time Sinkhorn Divergences using Positive Features NeurIPS 2020 Metric Learning in Optimal Transport for Domain Adaptation IJCAI 2020 Optimal transport mapping via input convex neural networks ICML 2020 OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling NeurIPS 2020 Projection Robust Wasserstein Distance and Riemannian Optimization 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 Regularized Wasserstein Means for Aligning Distributional Data AAAI 2020 Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation NeurIPS 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020 Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold AAAI 2020 Spread Divergence ICML 2020 Statistical Optimal Transport posed as Learning Kernel Embedding NeurIPS 2020 Synchronizing Probability Measures on Rotations via Optimal Transport CVPR 2020 The Wasserstein Proximal Gradient Algorithm NeurIPS 2020 Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains EMNLP 2020 Word Rotator’s Distance EMNLP 2020 A Closed-Form Solution to Universal Style Transfer ICCV 2019 Adaptive Optimization Framework for Control of Multi-Agent Systems AAAI 2019 A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport NeurIPS 2019