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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

Wasserstein Differential Privacy AAAI 2024
A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem NIPS 2024
Gaussian Interpolation Flows JMLR 2024
Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024
Wasserstein Distributional Learning via Majorization-Minimization AISTATS 2023
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms AISTATS 2023
Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023
Evaluating and reducing the distance between synthetic and real speech distributions INTERSPEECH 2023
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection AISTATS 2023
Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints AISTATS 2023
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions NIPS 2023
Large-scale similarity search with Optimal Transport EMNLP 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023
Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023
Input uncertainty propagation through trained neural networks ICML 2023
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023
Global-Local Regularization Via Distributional Robustness AISTATS 2023
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NIPS 2023
Unscented Autoencoder ICML 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023
Euler-Lagrange Analysis of Generative Adversarial Networks JMLR 2023
Evaluating Generative Networks Using Gaussian Mixtures of Image Features WACV 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023