GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

28 September 2018

Papers citing "GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration"

50 / 207 papers shown

Title
Bidirectional Information Flow (BIF) -- A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization Juan D. Guerra Thomas Garbay Guillaume Lajoie Marco Bonizzato 9 0 0 16 May 2025
Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace Methods Pascal Kündig Fabio Sigrist 29 0 0 14 May 2025
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics Manish Prajapat Johannes Köhler Amon Lahr Andreas Krause Melanie Zeilinger 38 0 0 12 May 2025
GPRat: Gaussian Process Regression with Asynchronous Tasks Maksim Helmann Alexander Strack Dirk Pflüger GP 43 0 0 30 Apr 2025
On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing Samantha Petti Carlos Martí-Gómez Justin B. Kinney Juannan Zhou David M. McCandlish GP 29 0 0 26 Apr 2025
The Power of the Pareto Front: Balancing Uncertain Rewards for Adaptive Experimentation in scanning probe microscopy Yu Liu Sergei V. Kalinin 38 0 0 09 Apr 2025
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization Bojana Ranković P. Schwaller BDL 271 0 0 08 Apr 2025
Preconditioned Additive Gaussian Processes with Fourier Acceleration Theresa Wagner Tianshi Xu Franziska Nestler Yuanzhe Xi Martin Stoll 69 1 0 01 Apr 2025
Constrained multi-fidelity Bayesian optimization with automatic stop condition Zahra Zanjani Foumani Ramin Bostanabad 74 0 0 03 Mar 2025
Position: Curvature Matrices Should Be Democratized via Linear Operators Felix Dangel Runa Eschenhagen Weronika Ormaniec Andres Fernandez Lukas Tatzel Agustinus Kristiadi 69 3 0 31 Jan 2025
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Natalie Maus Kyurae Kim Yimeng Zeng Haydn Thomas Jones Fangping Wan Marcelo Der Torossian Torres Cesar de la Fuente-Nunez Jacob R. Gardner 95 0 0 31 Jan 2025
Real-Time Generation of Near-Minimum-Energy Trajectories via Constraint-Informed Residual Learning Domenico Dona' Giovanni Franzese Cosimo Della Santina Paolo Boscariol Basilio Lenzo 50 0 0 17 Jan 2025
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials Matthias Holzenkamp Dongyu Lyu Ulrich Kleinekathöfer Peter Zaspel 42 0 0 10 Jan 2025
Practical Performative Policy Learning with Strategic Agents Qianyi Chen Ying Chen Bo Li 115 0 0 02 Dec 2024
Constrained composite Bayesian optimization for rational synthesis of polymeric particles Fanjin Wang Maryam Parhizkar Anthony Harker Mohan Edirisinghe 29 0 0 06 Nov 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai Justin Domke Daniel Sheldon 43 0 0 31 Oct 2024
High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation Chris Camaño Daniel Huang BDL GP 50 1 0 28 Oct 2024
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning Peter Eckmann D. Wu G. Heinzelmann Michael K. Gilson Rose Yu AI4CE 49 0 0 15 Oct 2024
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure Jihao Andreas Lin Sebastian Ament Maximilian Balandat E. Bakshy BDL 31 2 0 11 Oct 2024
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data Matthew Ashman Cristiana-Diana Diaconu Eric Langezaal Adrian Weller Richard E. Turner AI4TS 41 1 0 09 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 50 0 0 07 Oct 2024
Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted Cholesky Ethan N. Epperly J. Tropp R. Webber 34 4 0 04 Oct 2024
Constraining Gaussian Process Implicit Surfaces for Robot Manipulation via Dataset Refinement Abhinav Kumar Peter Mitrano Dmitry Berenson 37 0 0 30 Sep 2024
Autonomous Wheel Loader Navigation Using Goal-Conditioned Actor-Critic MPC Aleksi Mäki-Penttilä Naeim Ebrahimi Toulkani Reza Ghabcheloo 39 0 0 24 Sep 2024
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes Vadim Rozenfeld Bracha Laufer Goldshtein 40 0 0 18 Sep 2024
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework Manish Prajapat Amon Lahr Johannes Köhler Andreas Krause Melanie Zeilinger 37 2 0 13 Sep 2024
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems Jack M. Buckingham Ivo Couckuyt Juergen Branke 46 0 0 30 Aug 2024
Batch Active Learning in Gaussian Process Regression using Derivatives Hon Sum Alec Yu Christoph Zimmer D. Nguyen-Tuong GP 31 1 0 03 Aug 2024
Smooth Path Planning Using a Gaussian Process Regression Map for Mobile Robot Navigation Quentin Serdel J. Marzat Julien Moras GP 23 1 0 08 Jul 2024
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models Xinxing Shi Thomas Baldwin-McDonald Mauricio A. Álvarez 82 0 0 01 Jul 2024
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records Zekai Wang Tieming Liu B. Yao 57 0 0 30 Jun 2024
Data-driven identification of port-Hamiltonian DAE systems by Gaussian processes Peter Zaspel Michael Günther 39 2 0 26 Jun 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 49 4 0 07 Jun 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes J. Lin Shreyas Padhy Bruno Mlodozeniec Javier Antorán José Miguel Hernández-Lobato 46 2 0 28 May 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 40 0 0 27 May 2024
CMA-ES for Safe Optimization Kento Uchida Ryoki Hamano Masahiro Nomura Shota Saito Shinichi Shirakawa 37 1 0 17 May 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 47 0 0 17 May 2024
Kermut: Composite kernel regression for protein variant effects Peter Mørch Groth Mads Herbert Kerrn Lars Olsen Jesper Salomon Wouter Boomsma 47 2 0 09 Apr 2024
Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation Swati Jindal Mohit Yadav Roberto Manduchi 37 5 0 08 Apr 2024
Learning Piecewise Residuals of Control Barrier Functions for Safety of Switching Systems using Multi-Output Gaussian Processes Mohammad Aali Jun Liu 37 0 0 26 Mar 2024
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search Yunchuan Zhang Sangwoo Park Osvaldo Simeone 48 5 0 14 Mar 2024
Gradient-enhanced deep Gaussian processes for multifidelity modelling Viv Bone Chris van der Heide Kieran Mackle Ingo Jahn P. Dower Chris Manzie 27 1 0 25 Feb 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 57 1 0 22 Feb 2024
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers P. Rodriguez-Fernandez N. T. Howard A. Saltzman S. Kantamneni J. Candy C. Holland M. Balandat Sebastian Ament A. E. White 20 10 0 19 Dec 2023
Towards Safe Multi-Task Bayesian Optimization Jannis O. Lübsen Christian Hespe Annika Eichler 29 3 0 12 Dec 2023
Practical Path-based Bayesian Optimization Jose Pablo Folch J. Odgers Shiqiang Zhang Robert M. Lee B. Shafei David Walz Calvin Tsay Mark van der Wilk Ruth Misener 49 2 0 01 Dec 2023
A systematic study comparing hyperparameter optimization engines on tabular data Balazs Kegl 28 1 0 27 Nov 2023
Robust and Conjugate Gaussian Process Regression Matias Altamirano F. Briol Jeremias Knoblauch 32 10 0 01 Nov 2023
Implicit Manifold Gaussian Process Regression Bernardo Fichera Viacheslav Borovitskiy Andreas Krause A. Billard 18 3 0 30 Oct 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 34 2 0 15 Oct 2023