Fast Direct Methods for Gaussian Processes

24 March 2014

Papers citing "Fast Direct Methods for Gaussian Processes"

20 / 20 papers shown

Title
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks J. Gornet Yiannis Kantaros Bruno Sinopoli 152 0 0 27 Apr 2025
Review of Recent Advances in Gaussian Process Regression Methods Chenyi Lyu Xingchi Liu Lyudmila Mihaylova GP 29 3 0 12 Sep 2024
Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference G. Edenhofer Philipp Frank Jakob Roth R. Leike Massin Guerdi L. Scheel-Platz M. Guardiani Vincent Eberle M. Westerkamp T. Ensslin 30 9 0 26 Feb 2024
Uniform approximation of common Gaussian process kernels using equispaced Fourier grids A. Barnett P. Greengard M. Rachh 23 7 0 18 May 2023
Linear Time Kernel Matrix Approximation via Hyperspherical Harmonics J. Ryan Anil Damle 16 0 0 08 Feb 2022
Efficient Fourier representations of families of Gaussian processes P. Greengard 38 3 0 28 Sep 2021
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions P. Greengard M. O’Neil 30 10 0 12 Aug 2021
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling Pedro Mendes Maria Casimiro Paolo Romano David Garlan 8 18 0 09 Nov 2020
Time series forecasting with Gaussian Processes needs priors Giorgio Corani A. Benavoli Marco Zaffalon GP AI4TS 15 27 0 17 Sep 2020
Sparse Cholesky factorization by Kullback-Leibler minimization Florian Schäfer Matthias Katzfuss H. Owhadi 13 92 0 29 Apr 2020
Imbalance Learning for Variable Star Classification Zafiirah Hosenie R. Lyon B. Stappers A. Mootoovaloo Vanessa McBride 10 21 0 27 Feb 2020
Leveraging Legacy Data to Accelerate Materials Design via Preference Learning Xiaolin Sun Z. Hou Masato Sumita Shinsuke Ishihara Ryo Tamura Koji Tsuda 9 7 0 25 Oct 2019
Multi-resolution filters for massive spatio-temporal data M. Jurek Matthias Katzfuss 14 24 0 09 Oct 2018
Scalable Gaussian Process Computations Using Hierarchical Matrices Christopher J. Geoga M. Anitescu Michael L. Stein 15 40 0 09 Aug 2018
Dense 3-D Mapping with Spatial Correlation via Gaussian Filtering Ke Sun Kelsey Saulnier Nikolay Atanasov George J. Pappas Vijay Kumar 21 8 0 23 Jan 2018
A class of multi-resolution approximations for large spatial datasets Matthias Katzfuss Wenlong Gong GP 8 30 0 24 Oct 2017
Bayesian Inference of Log Determinants Jack K. Fitzsimons Kurt Cutajar Michael A. Osborne Stephen J. Roberts Maurizio Filippone 28 18 0 05 Apr 2017
GPflow: A Gaussian process library using TensorFlow A. G. Matthews Mark van der Wilk T. Nickson Keisuke Fujii A. Boukouvalas Pablo León-Villagrá Zoubin Ghahramani J. Hensman GP 16 657 0 27 Oct 2016
Estimation and Prediction using generalized Wendland Covariance Functions under fixed domain asymptotics M. Bevilacqua Tarik Faouzi Reinhard Furrer Emilio Porcu 26 72 0 23 Jul 2016
A Framework for Evaluating Approximation Methods for Gaussian Process Regression Krzysztof Chalupka Christopher K. I. Williams Iain Murray GP 71 169 0 29 May 2012