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How biased is your model? Concentration Inequalities, Information and Model Bias., , , and . CoRR, (2017)Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows., , , and . CoRR, (2024)Nonlinear denoising score matching for enhanced learning of structured distributions., , , , and . CoRR, (2024)Structure-preserving GANs., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 1982-2020. PMLR, (2022)Low regularity solutions to a gently stochastic nonlinear wave equation in nonequilibrium statistical mechanics, and . Stochastic Processes and their Applications, 115 (6): 1041--1059 (June 2005)Decompositions of two player games: potential, zero-sum, and stable games, and . CoRR, (2011)Uncertainty Quantification for Markov Processes via Variational Principles and Functional Inequalities., and . SIAM/ASA J. Uncertain. Quantification, 8 (2): 539-572 (2020)(f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics., , , , and . J. Mach. Learn. Res., (2022)Sample Complexity of Probability Divergences under Group Symmetry., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 4713-4734. PMLR, (2023)Learning heavy-tailed distributions with Wasserstein-proximal-regularized α-divergences., , , , and . CoRR, (2024)