{"total":24,"rows":[{"id":"2104.01845","title":"Unsupervised Multi-source Domain Adaptation Without Access to Source Data","created":"2021-04-05","cited_by_count":76,"area":null},{"id":"2105.13010","title":"An error analysis of generative adversarial networks for learning distributions","created":"2021-05-27","cited_by_count":36,"area":null},{"id":"2201.09418","title":"Approximation bounds for norm constrained neural networks with applications to regression and GANs","created":"2022-01-24","cited_by_count":22,"area":null},{"id":"2310.04935","title":"Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory","created":"2023-10-07","cited_by_count":16,"area":null},{"id":"2302.08942","title":"PAC-Bayesian Generalization Bounds for Adversarial Generative Models","created":"2023-02-17","cited_by_count":13,"area":null},{"id":"2311.02868","title":"Sample Complexity Bounds for Estimating Probability Divergences under Invariances","created":"2023-11-06","cited_by_count":12,"area":null},{"id":"2104.07531","title":"On Energy-Based Models with Overparametrized Shallow Neural Networks","created":"2021-04-15","cited_by_count":8,"area":null},{"id":"2405.04715","title":"Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning","created":"2024-05-07","cited_by_count":7,"area":null},{"id":"2201.07206","title":"Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs","created":"2022-01-18","cited_by_count":6,"area":null},{"id":"2104.10601","title":"Statistical inference for generative adversarial networks and other minimax problems","created":"2021-04-21","cited_by_count":3,"area":null},{"id":"2201.02824","title":"Optimal 1-Wasserstein Distance for WGANs","created":"2022-01-08","cited_by_count":3,"area":null},{"id":"2410.07685","title":"Breaking the curse of dimensionality in structured density estimation","created":"2024-10-10","cited_by_count":3,"area":null},{"id":"2110.13680","title":"Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN","created":"2021-10-26","cited_by_count":2,"area":null},{"id":"2204.10495","title":"Adversarial Estimators","created":"2022-04-22","cited_by_count":2,"area":null},{"id":"2307.13763","title":"Sobolev Space Regularised Pre Density Models","created":"2023-07-25","cited_by_count":2,"area":null},{"id":"2502.01310","title":"A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2601.17374","title":"Error Analysis of Bayesian Inverse Problems with Generative Priors","created":"2026-01-24","cited_by_count":2,"area":null},{"id":"2502.00737","title":"Scalable Sobolev IPM for Probability Measures on a Graph","created":"2025-02-02","cited_by_count":1,"area":null},{"id":"2306.13641","title":"A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules","created":"2023-06-23","cited_by_count":0,"area":null},{"id":"2310.00443","title":"Generalization error property of infoGAN for two-layer neural network","created":"2023-09-30","cited_by_count":0,"area":null},{"id":"2404.06599","title":"Collaborative Multi-source Domain Adaptation Through Optimal Transport","created":"2024-04-09","cited_by_count":0,"area":null},{"id":"2510.25591","title":"Generalized Sobolev IPM for Graph-Based Measures","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2605.20122","title":"Optimizing Computational-Statistical Runtime for Wasserstein Distance Estimation","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2609.20883","title":"Sparse Priors for Efficient Distribution Learning","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}