{"total":16,"rows":[{"id":"2202.04744","title":"Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap","created":"2022-02-09","cited_by_count":41,"area":null},{"id":"2107.08001","title":"Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods","created":"2021-07-16","cited_by_count":16,"area":null},{"id":"2301.13528","title":"Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization","created":"2023-01-31","cited_by_count":9,"area":null},{"id":"2403.12729","title":"Posterior Uncertainty Quantification in Neural Networks using Data Augmentation","created":"2024-03-18","cited_by_count":9,"area":null},{"id":"2502.19231","title":"AI-Powered Bayesian Inference","created":"2025-02-26","cited_by_count":8,"area":null},{"id":"2403.07282","title":"Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling","created":"2024-03-12","cited_by_count":5,"area":null},{"id":"2303.02637","title":"A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks","created":"2023-03-05","cited_by_count":3,"area":null},{"id":"2306.01468","title":"Robust Bayesian Inference for Measurement Error Misspecification: The Berkson and Classical Cases","created":"2023-06-02","cited_by_count":2,"area":null},{"id":"2406.09172","title":"Generative vs. Discriminative modeling under the lens of uncertainty quantification","created":"2024-06-13","cited_by_count":2,"area":null},{"id":"2505.03585","title":"Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets","created":"2025-05-06","cited_by_count":2,"area":null},{"id":"2308.14048","title":"A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy","created":"2023-08-27","cited_by_count":1,"area":null},{"id":"2602.08913","title":"GEMSS: A Variational Method for Discovering Multiple Sparse Solutions in Classification and Regression Problems","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2605.09834","title":"Supercharging Bayesian Inference with Reliable AI-Informed Priors","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2108.00866","title":"Nonparametric posterior learning for emission tomography with multimodal data","created":"2021-07-29","cited_by_count":0,"area":null},{"id":"2503.08902","title":"A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation","created":"2025-03-11","cited_by_count":0,"area":null},{"id":"2605.11168","title":"Variational predictive resampling","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}