Gaussian Processes

Active Constraint Learning in High Dimensions from Demonstrations L4DC 2026 Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization UAI 2026 COBALT: Censored Optimization and Bayesian Active Learning Techniques UAI 2026 Exact Uncertainty Propagation via Gaussian Process Neurons UAI 2026 Exploiting Concavity Information in Contextual Bandit Optimization UAI 2026 Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection JMLR 2026 GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes CVPR 2026 Information Theoretic Bayesian Optimization over the Probability Simplex UAI 2026 Instrumental and Proximal Causal Inference with Gaussian Processes UAI 2026 Kronecker-Structured Nonparametric Spatiotemporal Point Processes UAI 2026 Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes L4DC 2026 PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems L4DC 2026 Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula JMLR 2026 Relative Information Gain and Gaussian Process Regression ALT 2026 Talagrand Meets Talagrand: Upper and Lower Bounds on Expected Soft Maxima of Gaussian Processes with Finite Index Sets ALT 2026 The Price of Knowledge: Optimal Algorithms for Costly Bandits UAI 2026 Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes JMLR 2026 Vector-Valued Gaussian Processes for Approximating Divergence- or Rotation-free Vector Fields JMLR 2026 Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference UAI 2025 Adaptive RKHS Fourier Features for Compositional Gaussian Process Models AISTATS 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 Bayesian Circular Regression with von Mises Quasi-Processes AISTATS 2025 Bayesian Gaussian Process ODEs via Double Normalizing Flows AISTATS 2025 Bayesian Optimization over Bounded Domains with the Beta Product Kernel UAI 2025 Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? UAI 2025