Gaussian Processes

Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness AISTATS 2025 Pick-to-Learn and Self-Certified Gaussian Process Approximations AISTATS 2025 RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations EMNLP 2025 Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization JMLR 2025 RESuM: A Rare Event Surrogate Model for Physics Detector Design ICLR 2025 Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data AISTATS 2025 Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors JMLR 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 Variance-Reducing Couplings for Random Features ICLR 2025 Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks AISTATS 2025 Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models AISTATS 2025 Weighted Sum of Gaussian Process Latent Variable Models AISTATS 2025 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NeurIPS 2024 Active Learning Guided by Efficient Surrogate Learners AAAI 2024 Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC JMLR 2024 A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024 Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NeurIPS 2024 Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NeurIPS 2024 Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data ICLR 2024