posterior predictive distribution

On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference UAI 2026 Epistemic Uncertainty and Excess Risk in Variational Inference AISTATS 2025 Evasion Attacks Against Bayesian Predictive Models UAI 2025 KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks ICLR 2025 Streamlining Prediction in Bayesian Deep Learning ICLR 2025 Temperature Optimization for Bayesian Deep Learning UAI 2025 Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression NeurIPS 2023 Bayesian Oracle for bounding information gain in neural encoding models ICLR 2023 Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023 PFNs4BO: In-Context Learning for Bayesian Optimization ICML 2023 Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022 Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data ACML 2022 Non-Gaussian Gaussian Processes for Few-Shot Regression NeurIPS 2021 Correcting Predictions for Approximate Bayesian Inference AAAI 2020 Empirical Priors for Prediction in Sparse High-dimensional Linear Regression JMLR 2020 The Functional Neural Process NeurIPS 2019 Variational Bayes under Model Misspecification NeurIPS 2019 Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NeurIPS 2013