2025 "gaussian processes" Papers

Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations

David Dalton, Alan Lazarus, Hao Gao et al.

Deep Random Features for Scalable Interpolation of Spatiotemporal Data

Weibin Chen, Azhir Mahmood, Michel Tsamados et al.

Fairness-aware Bayes Optimal Functional Classification

Xiaoyu Hu, Gengyu Xue, Zhenhua Lin et al.

Gaussian Processes for Shuffled Regression

Masahiro Kohjima

Identifiability for Gaussian Processes with Holomorphic Kernels

Ameer Qaqish, Didong Li

Infinite Neural Operators: Gaussian processes on functions

Daniel Augusto de Souza, Yuchen Zhu, Jake Cunningham et al.

Informed Initialization for Bayesian Optimization and Active Learning

Carl Hvarfner, David Eriksson, Eytan Bakshy et al.

No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes

Jasmine Bayrooti, Sattar Vakili, Amanda Prorok et al.

Policy Gradient with Kernel Quadrature

Tetsuro Morimura, Satoshi Hayakawa

Quantitative convergence of trained neural networks to Gaussian processes

Andrea Agazzi, Eloy Mosig García, Dario Trevisan

Residual Deep Gaussian Processes on Manifolds

Kacper Wyrwal, Andreas Krause, Viacheslav (Slava) Borovitskiy

Robust and Computation-Aware Gaussian Processes