Constant-Time Predictive Distributions for Gaussian Processes

Constant-Time Predictive Distributions for Gaussian Processes

16 March 2018

Kilian Q. Weinberger

Papers citing "Constant-Time Predictive Distributions for Gaussian Processes"

19 / 19 papers shown

Title
GPRat: Gaussian Process Regression with Asynchronous Tasks Maksim Helmann Alexander Strack Dirk Pflüger GP 43 0 0 30 Apr 2025
Smooth Path Planning Using a Gaussian Process Regression Map for Mobile Robot Navigation Quentin Serdel J. Marzat Julien Moras GP 18 1 0 08 Jul 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 34 0 0 27 May 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 50 1 0 22 Feb 2024
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression Clara Menzen Marnix Fetter Manon Kok 14 1 0 25 Oct 2023
Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces Tomávs Nagy Ahmad Amine Truong X. Nghiem Ugo Rosolia Zirui Zang Rahul Mangharam 21 7 0 23 Mar 2023
When are Iterative Gaussian Processes Reliably Accurate? Wesley J. Maddox Sanyam Kapoor A. Wilson 23 10 0 31 Dec 2021
Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices Jan Povala Ieva Kazlauskaite Eky Febrianto F. Cirak Mark Girolami 29 22 0 22 Oct 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 48 21 0 20 Sep 2021
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization Jonathan Wenger Geoff Pleiss Philipp Hennig John P. Cunningham J. Gardner 22 23 0 01 Jul 2021
Bayesian Optimization with High-Dimensional Outputs Wesley J. Maddox Maximilian Balandat A. Wilson E. Bakshy UQCV 24 50 0 24 Jun 2021
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information W. Neiswanger Ke Alexander Wang Stefano Ermon MLAU 29 30 0 19 Apr 2021
Fast Adaptation with Linearized Neural Networks Wesley J. Maddox Shuai Tang Pablo G. Moreno A. Wilson Andreas C. Damianou 29 32 0 02 Mar 2021
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients A. Artemev David R. Burt Mark van der Wilk 23 18 0 16 Feb 2021
Pathwise Conditioning of Gaussian Processes James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 18 57 0 08 Nov 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang Daniel R. Jiang Maximilian Balandat Brian Karrer J. Gardner Roman Garnett 16 44 0 29 Jun 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss M. Jankowiak David Eriksson Anil Damle J. Gardner 17 43 0 19 Jun 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 26 93 0 14 Oct 2019
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017