Gaussian Processes

Distilling knowledge from Gaussian process teacher to neural network student Interspeech 2023 Efficient Exploration in Continuous-time Model-based Reinforcement Learning NeurIPS 2023 Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023 Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023 Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models NeurIPS 2023 Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023 Failure-Aware Gaussian Process Optimization with Regret Bounds NeurIPS 2023 Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023 Gaussian processes at the Helm(holtz): A more fluid model for ocean currents ICML 2023 Gaussian Processes on Distributions based on Regularized Optimal Transport AISTATS 2023 Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023 Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023 Gradient Boosting Performs Gaussian Process Inference ICLR 2023 Graph-Structured Gaussian Processes for Transferable Graph Learning NeurIPS 2023 Gray-Box Gaussian Processes for Automated Reinforcement Learning ICLR 2023 Guided Deep Kernel Learning UAI 2023 Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NeurIPS 2023 Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023 Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023 Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023 Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds JMLR 2023 Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023 Isotropic Gaussian Processes on Finite Spaces of Graphs AISTATS 2023 Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition JMLR 2023 Learning a Depth Covariance Function CVPR 2023