gaussian process

Aligned Multi-Task Gaussian Process AISTATS 2022 All You Need is a Good Functional Prior for Bayesian Deep Learning JMLR 2022 A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits NeurIPS 2022 AutoIP: A United Framework to Integrate Physics into Gaussian Processes ICML 2022 Batch Bayesian optimisation via density-ratio estimation with guarantees NeurIPS 2022 Bayesian Active Learning with Fully Bayesian Gaussian Processes NeurIPS 2022 Bayesian Continuous-Time Tucker Decomposition ICML 2022 Bayesian federated estimation of causal effects from observational data UAI 2022 Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes AISTATS 2022 Bayesian Optimization for Distributionally Robust Chance-constrained Problem ICML 2022 Bayesian Optimization over Permutation Spaces AAAI 2022 Bayesian Optimization under Stochastic Delayed Feedback ICML 2022 Bayesian quantile and expectile optimisation UAI 2022 Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments CoRL 2022 Bezier Gaussian Processes for Tall and Wide Data NeurIPS 2022 Byzantine-tolerant federated Gaussian process regression for streaming data NeurIPS 2022 Combinatorial Bayesian optimization with random mapping functions to convex polytopes UAI 2022 Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations NeurIPS 2022 Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification AAAI 2022 Deep One-Class Classification via Interpolated Gaussian Descriptor AAAI 2022 Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model AAAI 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022 Distributionally-Aware Kernelized Bandit Problems for Risk Aversion ICML 2022 Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022 Doubly Mixed-Effects Gaussian Process Regression AISTATS 2022