optimal transport

Optimal Transport of Classifiers to Fairness NeurIPS 2022 Optimal transport with f-divergence regularization and generalized Sinkhorn algorithm AISTATS 2022 Order Constraints in Optimal Transport ICML 2022 Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound UAI 2022 OTExtSum: Extractive Text Summarisation with Optimal Transport NAACL 2022 OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport NeurIPS 2022 OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification EMNLP 2022 Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis AISTATS 2022 Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation NeurIPS 2022 Partially Does It: Towards Scene-Level FG-SBIR With Partial Input CVPR 2022 Partial Wasserstein Covering AAAI 2022 PolyWorld: Polygonal Building Extraction With Graph Neural Networks in Satellite Images CVPR 2022 Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution IJCAI 2022 Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss NeurIPS 2022 Project and Forget: Solving Large-Scale Metric Constrained Problems JMLR 2022 Proximal Optimal Transport Modeling of Population Dynamics AISTATS 2022 Randomized Stochastic Gradient Descent Ascent AISTATS 2022 Re-evaluating Word Mover’s Distance ICML 2022 Robust computation of optimal transport by $β$-potential regularization ACML 2022 Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance NeurIPS 2022 Searching for Optimal Subword Tokenization in Cross-domain NER IJCAI 2022 Semi-relaxed Gromov-Wasserstein divergence and applications on graphs ICLR 2022 Sliced Wasserstein variational inference ACML 2022 Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics AISTATS 2022 SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning NeurIPS 2022