wasserstein distance

417 papers

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Also known as

TW W2 W2 OR WD SW W WASSERSTEIN W1 WD WGAN WGAN-GP

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