Optimal Transport

Generalized Variational Inference via Optimal Transport AAAI 2024 GeONet: a neural operator for learning the Wasserstein geodesic UAI 2024 Gradual Domain Adaptation: Theory and Algorithms JMLR 2024 Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NeurIPS 2024 Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity ICML 2024 Improving the Convergence of Dynamic NeRFs via Optimal Transport ICLR 2024 Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning CVPR 2024 Interaction-Force Transport Gradient Flows NeurIPS 2024 Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024 Learning diffusion at lightspeed NeurIPS 2024 Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024 Lifelong Event Detection via Optimal Transport EMNLP 2024 Light Unbalanced Optimal Transport NeurIPS 2024 MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations ICML 2024 Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024 Multiple-output composite quantile regression through an optimal transport lens COLT 2024 Neural Optimal Transport with Lagrangian Costs UAI 2024 On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods AAAI 2024 OPEL: Optimal Transport Guided ProcedurE Learning NeurIPS 2024 Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024 Optimal Transport for Structure Learning Under Missing Data ICML 2024 Optimal Transport with Cyclic Symmetry AAAI 2024 Optimal Transport with Tempered Exponential Measures AAAI 2024 OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection ACL 2024 Parameter Estimation in DAGs from Incomplete Data via Optimal Transport ICML 2024