gaussian process

RESuM: A Rare Event Surrogate Model for Physics Detector Design ICLR 2025 Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations UAI 2025 Score-Based Diffusion Models in Function Space JMLR 2025 Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection ICCV 2025 Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization ICLR 2025 Tensor Network-Constrained Kernel Machines as Gaussian Processes AISTATS 2025 The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025 The Hardness of Validating Observational Studies with Experimental Data AISTATS 2025 Tighter Confidence Bounds for Sequential Kernel Regression AISTATS 2025 Time-varying Gaussian Process Bandits with Unknown Prior AISTATS 2025 Towards Uncertainty Unification: A Case Study for Preference Learning RSS 2025 Trajectory Inference with Smooth Schrödinger Bridges ICML 2025 Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification RSS 2025 Understanding High-Dimensional Bayesian Optimization ICML 2025 Variance-Reducing Couplings for Random Features ICLR 2025 Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models AISTATS 2025 Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence UAI 2025 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NeurIPS 2024 Active Learning Guided by Efficient Surrogate Learners AAAI 2024 Active Set Ordering NeurIPS 2024 An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network ICML 2024 Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC JMLR 2024 Approximation-Aware Bayesian Optimization NeurIPS 2024 A Study of Bayesian Neural Network Surrogates for Bayesian Optimization ICLR 2024 A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024