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wasserstein distance

417 papers

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Also known as

W WASSERSTEIN WD

Co-occurring keywords

optimal transport (945) generative adversarial network (1939) distributionally robust optimization (183) generative model (2889) domain adaptation (4578) generalization bound (649) image generation (2069) markov chain monte carlo (724) neural network (6616) variational inference (2069)

Papers

A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points IJCAI 2024
Understanding Entropic Regularization in GANs JMLR 2024
Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness NIPS 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance NIPS 2024
Statistical Efficiency of Distributional Temporal Difference Learning NIPS 2024
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NIPS 2024
Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification AAAI 2024
Instance-Optimal Private Density Estimation in the Wasserstein Distance NIPS 2024
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives IJCAI 2024
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams AAAI 2024
Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024
Gradual Domain Adaptation: Theory and Algorithms JMLR 2024
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing AAAI 2024
Wasserstein Differential Privacy AAAI 2024
Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024
Wasserstein distributionally robust regret-optimal control over infinite-horizon L4DC 2024
Characterization of translation invariant MMD on Rd and connections with Wasserstein distances JMLR 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024
Gaussian Interpolation Flows JMLR 2024
Mixup-Induced Domain Extrapolation for Domain Generalization AAAI 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation NIPS 2024
Tangential Wasserstein Projections JMLR 2024
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis WACV 2024