conftrace_

posterior variance

10 papers

Explore in graph

Co-occurring keywords

uncertainty quantification (1393) gaussian process (1200) variational inference (2069) kernel methods (1097) bayesian inference (1907) gradient information (14) probabilistic backpropagation (2) missing value (24) black-box inference (9) concept drift detection (7)

Papers

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
Sharp Calibrated Gaussian Processes NIPS 2023
Model-Based Uncertainty in Value Functions AISTATS 2023
Quantile Propagation for Wasserstein-Approximate Gaussian Processes NIPS 2020
Near-linear time Gaussian process optimization with adaptive batching and resparsification ICML 2020
Variational Inference via $\chi$ Upper Bound Minimization NIPS 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