2025 Poster "gaussian processes" Papers

9 papers found

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

David Dalton, Alan Lazarus, Hao Gao et al.

ICLR 2025poster

Fairness-aware Bayes Optimal Functional Classification

Xiaoyu Hu, Gengyu Xue, Zhenhua Lin et al.

NeurIPS 2025posterarXiv:2505.09471

Gaussian Processes for Shuffled Regression

Masahiro Kohjima

NeurIPS 2025poster

Identifiability for Gaussian Processes with Holomorphic Kernels

Ameer Qaqish, Didong Li

ICLR 2025poster

Infinite Neural Operators: Gaussian processes on functions

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

NeurIPS 2025posterarXiv:2510.16675
1
citations

Informed Initialization for Bayesian Optimization and Active Learning

Carl Hvarfner, David Eriksson, Eytan Bakshy et al.

NeurIPS 2025posterarXiv:2510.23681

Policy Gradient with Kernel Quadrature

Tetsuro Morimura, Satoshi Hayakawa

ICLR 2025posterarXiv:2310.14768
1
citations

Quantitative convergence of trained neural networks to Gaussian processes

Andrea Agazzi, Eloy Mosig García, Dario Trevisan

NeurIPS 2025poster

Residual Deep Gaussian Processes on Manifolds

Kacper Wyrwal, Andreas Krause, Viacheslav (Slava) Borovitskiy

ICLR 2025posterarXiv:2411.00161
2
citations