wasserstein distance

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 High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis WACV 2024 Improved Particle Approximation Error for Mean Field Neural Networks NeurIPS 2024 InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions NAACL 2024 Instance-Optimal Private Density Estimation in the Wasserstein Distance NeurIPS 2024 Interaction-Force Transport Gradient Flows NeurIPS 2024 Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited ICLR 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling NeurIPS 2024 Mixup-Induced Domain Extrapolation for Domain Generalization AAAI 2024 Multiple-output composite quantile regression through an optimal transport lens COLT 2024 Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024 Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching ICML 2024 On Convergence in Wasserstein Distance and f-divergence Minimization Problems AISTATS 2024 Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024 Optimal Transport for Structure Learning Under Missing Data ICML 2024 Path-Guided Particle-based Sampling ICML 2024 Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024 Rethinking the Uniformity Metric in Self-Supervised Learning ICLR 2024 Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract) COLT 2024 Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024 Sample Complexity Bounds for Estimating Probability Divergences under Invariances ICML 2024