gaussian process

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization ICML 2024 Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency ICML 2024 Random Fully Connected Neural Networks as Perturbatively Solvable Hierarchies JMLR 2024 ResPilot: Teleoperated Finger Gaiting via Gaussian Process Residual Learning CoRL 2024 Response Time Improves Gaussian Process Models for Perception and Preferences UAI 2024 Revisiting Kernel Attention with Correlated Gaussian Process Representation UAI 2024 Robust and Conjugate Gaussian Process Regression ICML 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior ACML 2024 Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants ICML 2024 Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NeurIPS 2024 Sample-efficient Bayesian Optimisation Using Known Invariances NeurIPS 2024 Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes NeurIPS 2024 Scalable Meta-Learning with Gaussian Processes AISTATS 2024 Self-Supervised Denoising Transformer With Gaussian Process WACV 2024 Sequential Deconfounding for Causal Inference with Unobserved Confounders CLeaR 2024 Solving High Frequency and Multi-Scale PDEs with Gaussian Processes ICLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024 Stein Random Feature Regression UAI 2024 Stochastic Gradient Descent for Gaussian Processes Done Right ICLR 2024 Stopping Bayesian Optimization with Probabilistic Regret Bounds NeurIPS 2024 Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach IJCAI 2024 Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024 Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics IJCAI 2024