wasserstein distance

Generalization Bounds for (Wasserstein) Robust Optimization NeurIPS 2021 Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ICML 2021 High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm JMLR 2021 Improved OOD Generalization via Adversarial Training and Pretraing ICML 2021 Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement Interspeech 2021 Instance-Optimal Compressed Sensing via Posterior Sampling ICML 2021 Isolation Graph Kernel AAAI 2021 LAMDA: Label Matching Deep Domain Adaptation ICML 2021 Learning Deep Generative Models for Queuing Systems AAAI 2021 Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021 Moreau-Yosida f-divergences ICML 2021 Non-asymptotic convergence bounds for Wasserstein approximation using point clouds NeurIPS 2021 On efficient multilevel Clustering via Wasserstein distances JMLR 2021 On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification AISTATS 2021 Optimal Transport for Deep Generative Models: State of the Art and Research Challenges IJCAI 2021 Outlier-Robust Optimal Transport ICML 2021 POT: Python Optimal Transport JMLR 2021 Primal Wasserstein Imitation Learning ICLR 2021 Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning COLT 2021 Projection Robust Wasserstein Barycenters ICML 2021 Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections NeurIPS 2021 Representational aspects of depth and conditioning in normalizing flows ICML 2021 SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance CVPR 2021 Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification CVPR 2021 Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NeurIPS 2021