Optimal Transport

Extremal Domain Translation with Neural Optimal Transport NeurIPS 2023 Fair and Optimal Classification via Post-Processing ICML 2023 Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023 Fast Algorithms for a New Relaxation of Optimal Transport COLT 2023 Fast Nonlinear Vector Quantile Regression ICLR 2023 Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NeurIPS 2023 Gaussian Processes on Distributions based on Regularized Optimal Transport AISTATS 2023 Generalized Belief Transport NeurIPS 2023 Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport NeurIPS 2023 Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport ACL 2023 Importance Sparsification for Sinkhorn Algorithm JMLR 2023 Improved Rate of First Order Algorithms for Entropic Optimal Transport AISTATS 2023 Improving word mover’s distance by leveraging self-attention matrix EMNLP 2023 Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs ICML 2023 Jointly Imputing Multi-View Data with Optimal Transport AAAI 2023 Linear optimal partial transport embedding ICML 2023 Markovian Sliced Wasserstein Distances: Beyond Independent Projections NeurIPS 2023 Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023 Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes ICML 2023 Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling JMLR 2023 Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward EMNLP 2023 Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approach. COLT 2023 Normalizing flow neural networks by JKO scheme NeurIPS 2023 Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework ICLR 2023 On amortizing convex conjugates for optimal transport ICLR 2023