posterior predictive

On Consistent Bayesian Inference from Synthetic Data JMLR 2025 Estimating the Hallucination Rate of Generative AI NeurIPS 2024 Approximately Bayes-optimal pseudo-label selection UAI 2023 Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NeurIPS 2023 Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? AISTATS 2022 Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021 Conformal Bayesian Computation NeurIPS 2021 Diagnostics for conditional density models and Bayesian inference algorithms UAI 2021 Direct Loss Minimization for Sparse Gaussian Processes AISTATS 2021 Post-hoc loss-calibration for Bayesian neural networks UAI 2021 Bayesian Deep Ensembles via the Neural Tangent Kernel NeurIPS 2020 How Good is the Bayes Posterior in Deep Neural Networks Really? ICML 2020 Bayesian Deconditional Kernel Mean Embeddings ICML 2019 Conditionally Independent Multiresolution Gaussian Processes AISTATS 2019 Gaussian Process Models of Sound Change in Indo-Aryan Dialectology ACL 2019 The Functional Neural Process NeurIPS 2019 Bayesian dark knowledge NeurIPS 2015 Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NeurIPS 2013 Bayesian Ensemble Learning NeurIPS 2006