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posterior variance

11 papers

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Co-occurring keywords · papers mentioning both

uncertainty quantification (5) gaussian process (4) variational inference (3) kernel methods (2) confidence interval (2) bayesian inference (2) gradient information (1) probabilistic backpropagation (1) missing value (1) black-box inference (1)

Papers

Optimism Stabilizes Thompson Sampling for Adaptive Inference COLT 2026 Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026 ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments AAAI 2025 Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024 Model-Based Uncertainty in Value Functions AISTATS 2023 Sharp Calibrated Gaussian Processes NeurIPS 2023 Near-linear time Gaussian process optimization with adaptive batching and resparsification ICML 2020 Quantile Propagation for Wasserstein-Approximate Gaussian Processes NeurIPS 2020 Variational Inference via χ Upper Bound Minimization NeurIPS 2017 Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks ICML 2015 Practical Approaches to Principal Component Analysis in the Presence of Missing Values JMLR 2010