wasserstein distance

Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs ICLR 2022 On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds NeurIPS 2022 One Loss for Quantization: Deep Hashing With Discrete Wasserstein Distributional Matching CVPR 2022 Online Learning to Transport via the Minimal Selection Principle COLT 2022 Optimally Controllable Perceptual Lossy Compression ICML 2022 Order Constraints in Optimal Transport ICML 2022 OTExtSum: Extractive Text Summarisation with Optimal Transport NAACL 2022 OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport NeurIPS 2022 Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis AISTATS 2022 Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration ICLR 2022 Path Integral Sampler: A Stochastic Control Approach For Sampling ICLR 2022 Pay attention to your loss : understanding misconceptions about Lipschitz neural networks NeurIPS 2022 Proximal Optimal Transport Modeling of Population Dynamics AISTATS 2022 Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models ICML 2022 Robust Bayesian recourse UAI 2022 Robust Contrastive Learning Against Noisy Views CVPR 2022 Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? ICLR 2022 Robust Probabilistic Time Series Forecasting AISTATS 2022 Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance NeurIPS 2022 Self-Consistency of the Fokker Planck Equation COLT 2022 Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation AAAI 2022 Sqrt(d) Dimension Dependence of Langevin Monte Carlo ICLR 2022 Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NeurIPS 2022 Truly Deterministic Policy Optimization NeurIPS 2022 Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions NeurIPS 2022