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Gaussian Processes

568 directly classified papers

Papers per year

Papers

Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025
Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors JMLR 2025
Asynchronous Distributed Gaussian Process Regression AAAI 2025
RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations EMNLP 2025
Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model WACV 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood AAAI 2025
Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization JMLR 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025
Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NIPS 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
Transfer learning for tensor Gaussian graphical models JMLR 2024
Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024
Kernel Thinning JMLR 2024
A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024
Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels AISTATS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Hodge-Compositional Edge Gaussian Processes AISTATS 2024