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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

Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NIPS 2023
Mode-Seeking Divergences: Theory and Applications to GANs AISTATS 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks NIPS 2023
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models NIPS 2023
Wasserstein distributional robustness of neural networks NIPS 2023
Tight Performance Guarantees of Imitator Policies with Continuous Actions AAAI 2023
Optimal Transport Model Distributional Robustness NIPS 2023
Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning ICCV 2023
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport NIPS 2022
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference ICML 2022
Asymptotics of smoothed Wasserstein distances in the small noise regime NIPS 2022
Computing Wasserstein-p Distance Between Images With Linear Cost CVPR 2022
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NIPS 2022
One Loss for Quantization: Deep Hashing With Discrete Wasserstein Distributional Matching CVPR 2022
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets JMLR 2022
An Optimal Transport Approach to Deep Metric Learning (Student Abstract) AAAI 2022
Efficient Sampling on Riemannian Manifolds via Langevin MCMC NIPS 2022
Optimally Controllable Perceptual Lossy Compression ICML 2022
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing IJCAI 2022
Flexible Accuracy for Differential Privacy AISTATS 2022
A Wasserstein Distance Approach for Concentration of Empirical Risk Estimates JMLR 2022
An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022
(f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics JMLR 2022
Dual-Encoder Transformers with Cross-modal Alignment for Multimodal Aspect-based Sentiment Analysis IJCNLP 2022
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors ICML 2022