Gaussian Processes

Learning Curves for Deep Structured Gaussian Feature Models NeurIPS 2023 Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023 MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability NeurIPS 2023 Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023 Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023 Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023 Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023 On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models AAAI 2023 Optimistic Active Exploration of Dynamical Systems NeurIPS 2023 Optimizing Hyperparameters with Conformal Quantile Regression ICML 2023 Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023 Posterior Contraction for Deep Gaussian Process Priors JMLR 2023 Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds NeurIPS 2023 Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023 Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023 Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NeurIPS 2023 Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023 Sharp Calibrated Gaussian Processes NeurIPS 2023 Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023 Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023 Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023 Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023 Transformed Gaussian Processes for Characterizing a Model’s Discrepancy ACML 2023