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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

Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021
Moreau-Yosida $f$-divergences ICML 2021
A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021
First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021
Tighter Expected Generalization Error Bounds via Wasserstein Distance NIPS 2021
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors AAAI 2021
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NIPS 2021
Speech Enhancement with Topology-Enhanced Generative Adversarial Networks (GANs) INTERSPEECH 2021
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ICML 2021
Wasserstein Contrastive Representation Distillation CVPR 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021
On efficient multilevel Clustering via Wasserstein distances JMLR 2021
Analysis of stochastic Lanczos quadrature for spectrum approximation ICML 2021
POT: Python Optimal Transport JMLR 2021
Wasserstein Barycenter for Multi-Source Domain Adaptation CVPR 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021
Computationally Efficient Wasserstein Loss for Structured Labels EACL 2021
Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion AAAI 2021
Optimal Transport for Deep Generative Models: State of the Art and Research Challenges IJCAI 2021
Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space NIPS 2021
Adversarial Intrinsic Motivation for Reinforcement Learning NIPS 2021
Improved OOD Generalization via Adversarial Training and Pretraing ICML 2021
Representational aspects of depth and conditioning in normalizing flows ICML 2021
Accelerated WGAN Update Strategy With Loss Change Rate Balancing WACV 2021