Streaming Sparse Gaussian Process Approximations

19 May 2017

Papers citing "Streaming Sparse Gaussian Process Approximations"

16 / 16 papers shown

Title
Dynamic Online Ensembles of Basis Expansions Daniel Waxman Petar M. Djurić 45 5 0 02 May 2024
Resource-Efficient Cooperative Online Scalar Field Mapping via Distributed Sparse Gaussian Process Regression Tianyi Ding Ronghao Zheng Senlin Zhang Meiqin Liu 38 1 0 19 Sep 2023
Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes (with Appendix) Kalvik Jakkala Srinivas Akella 27 8 0 13 Sep 2023
Long-Term Autonomous Ocean Monitoring with Streaming Samples Weizhe (Wesley) Chen Lantao Liu 28 3 0 11 Jun 2023
Memory-Based Dual Gaussian Processes for Sequential Learning Paul E. Chang Prakhar Verma S. T. John Arno Solin Mohammad Emtiyaz Khan GP 28 4 0 06 Jun 2023
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 63 0 30 Nov 2022
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning Paul E. Chang Prakhar Verma S. T. John Victor Picheny Henry B. Moss Arno Solin GP 33 6 0 02 Nov 2022
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making Tianyu Liu Jie Lu Zheng Yan Guangquan Zhang 44 0 0 16 Oct 2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning Matthew Ashman T. Bui Cuong V Nguyen Efstratios Markou Adrian Weller S. Swaroop Richard Turner FedML 19 12 0 24 Feb 2022
Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes Armin Lederer Mingmin Zhang Samuel Tesfazgi Sandra Hirche 16 3 0 23 Feb 2022
Incremental Ensemble Gaussian Processes Qin Lu G. V. Karanikolas G. Giannakis 53 24 0 13 Oct 2021
Adaptive Inducing Points Selection For Gaussian Processes Théo Galy-Fajou Manfred Opper 31 15 0 21 Jul 2021
Non-Parametric Calibration for Classification Jonathan Wenger Hedvig Kjellström Rudolph Triebel UQCV 45 79 0 12 Jun 2019
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 27 55 0 27 Nov 2018
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 36 728 0 29 Oct 2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation T. Bui Josiah Yan Richard Turner 24 25 0 23 May 2016