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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

Optimal Transport Model Distributional Robustness NIPS 2023
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NIPS 2023
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models NIPS 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport NIPS 2023
Learning via Wasserstein-Based High Probability Generalisation Bounds NIPS 2023
Outlier-Robust Wasserstein DRO NIPS 2023
Fair Text Classification with Wasserstein Independence EMNLP 2023
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent NIPS 2023
Wasserstein distributional robustness of neural networks NIPS 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies NIPS 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks NIPS 2023
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory NIPS 2023
Semi-supervised Learning with Support Isolation by Small-Paced Self-Training AAAI 2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks ICML 2023
A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning ICML 2023
Tight Performance Guarantees of Imitator Policies with Continuous Actions AAAI 2023
Efficient Graph Field Integrators Meet Point Clouds ICML 2023
Sample Complexity of Probability Divergences under Group Symmetry ICML 2023
Vector Quantized Wasserstein Auto-Encoder ICML 2023
Input uncertainty propagation through trained neural networks ICML 2023
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions NIPS 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023