wasserstein distance

Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time ICLR 2023 A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023 A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance ICLR 2023 Algorithmically Effective Differentially Private Synthetic Data COLT 2023 Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NeurIPS 2023 Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023 Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning ICML 2023 Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023 Convergence of score-based generative modeling for general data distributions ALT 2023 Diffusion Models are Minimax Optimal Distribution Estimators ICML 2023 Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023 Distributionally Robust Skeleton Learning of Discrete Bayesian Networks NeurIPS 2023 Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023 Efficient Graph Field Integrators Meet Point Clouds ICML 2023 Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models NeurIPS 2023 Euler-Lagrange Analysis of Generative Adversarial Networks JMLR 2023 Evaluating and reducing the distance between synthetic and real speech distributions Interspeech 2023 Evaluating Generative Networks Using Gaussian Mixtures of Image Features WACV 2023 Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models NeurIPS 2023 Fair Data Representation for Machine Learning at the Pareto Frontier JMLR 2023 Fair Text Classification with Wasserstein Independence EMNLP 2023 Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NeurIPS 2023 Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NeurIPS 2023 Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms AISTATS 2023