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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

SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NIPS 2020
Hierarchically Robust Representation Learning CVPR 2020
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains EMNLP 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020
Wasserstein Distances for Stereo Disparity Estimation NIPS 2020
Robust Document Distance with Wasserstein-Fisher-Rao metric ACML 2020
A Swiss Army Knife for Minimax Optimal Transport ICML 2020
Representation Learning via Adversarially-Contrastive Optimal Transport ICML 2020
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks ICML 2020
On Relativistic f-Divergences ICML 2020
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory AISTATS 2020
Distributionally Robust Formulation and Model Selection for the Graphical Lasso AISTATS 2020
Learning to Score Behaviors for Guided Policy Optimization ICML 2020
Bounding the expected run-time of nonconvex optimization with early stopping UAI 2020
Stronger and Faster Wasserstein Adversarial Attacks ICML 2020
Scalable Nearest Neighbor Search for Optimal Transport ICML 2020
Bridging the Gap Between f-GANs and Wasserstein GANs ICML 2020
Quantitative Propagation of Chaos for SGD in Wide Neural Networks NIPS 2020
Wasserstein Control of Mirror Langevin Monte Carlo COLT 2020
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport AISTATS 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020
Deep Active Learning: Unified and Principled Method for Query and Training AISTATS 2020
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm NIPS 2020
Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources ACL 2020
Projection Robust Wasserstein Distance and Riemannian Optimization NIPS 2020