Optimal Transport

Online Learning to Transport via the Minimal Selection Principle COLT 2022 Optimal Transport for Causal Discovery ICLR 2022 Robust computation of optimal transport by $β$-potential regularization ACML 2022 Semi-relaxed Gromov-Wasserstein divergence and applications on graphs ICLR 2022 A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation COLT 2021 Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization ICLR 2021 Individually Fair Rankings ICLR 2021 Primal Wasserstein Imitation Learning ICLR 2021 SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness ICLR 2021 Kernelized Wasserstein Natural Gradient ICLR 2020 Learning transport cost from subset correspondence ICLR 2020 Robust Document Distance with Wasserstein-Fisher-Rao metric ACML 2020 Sinkhorn Regression IJCAI 2020 Unbalanced Sobolev Descent NeurIPS 2020 Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains EMNLP 2020 Word Rotator’s Distance EMNLP 2020 Improving Sequence-to-Sequence Learning via Optimal Transport ICLR 2019 Learning Embeddings into Entropic Wasserstein Spaces ICLR 2019 Wasserstein Barycenter Model Ensembling ICLR 2019 Gromov-Wasserstein Alignment of Word Embedding Spaces EMNLP 2018 Mapping Estimation for Discrete Optimal Transport NeurIPS 2016 Optimal spectral transportation with application to music transcription NeurIPS 2016 Supervised Word Mover's Distance NeurIPS 2016 Distributionally Robust Logistic Regression NeurIPS 2015 Learning with a Wasserstein Loss NeurIPS 2015