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gaussian process

1200 papers

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Also known as

GP

Co-occurring keywords

variational inference (2069) bayesian optimization (624) bayesian inference (1907) uncertainty quantification (1393) kernel methods (1097) gaussian processes (89) regret bound (1926) active learning (1301) sparse approximation (76) hyperparameter optimization (406)

Papers

Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model AAAI 2022
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network AAAI 2022
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification AAAI 2022
Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022
Jump Gaussian Process Model for Estimating Piecewise Continuous Regression Functions JMLR 2022
Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022
Gaussian Process Boosting JMLR 2022
Uncertainty Calibration for Deep Audio Classifiers INTERSPEECH 2022
Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets AISTATS 2022
Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022
Measuring the robustness of Gaussian processes to kernel choice AISTATS 2022
Spatial Multivariate Trees for Big Data Bayesian Regression JMLR 2022
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport NIPS 2022
Uncertainty Quantification for Bayesian Optimization AISTATS 2022
Information-Theoretic Safe Exploration with Gaussian Processes NIPS 2022
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates NIPS 2022
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes ICML 2022
Input Dependent Sparse Gaussian Processes ICML 2022
Learning Inconsistent Preferences with Gaussian Processes AISTATS 2022
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems NIPS 2022
Multi-fidelity Monte Carlo: a pseudo-marginal approach NIPS 2022
On the inability of Gaussian process regression to optimally learn compositional functions NIPS 2022
Gaussian Process Bandit Optimization with Few Batches AISTATS 2022