v1v2 (latest)

Streaming Sparse Gaussian Process Approximations

19 May 2017

Papers citing "Streaming Sparse Gaussian Process Approximations"

50 / 61 papers shown

Title
Knowledge Adaptation as Posterior Correction Mohammad Emtiyaz Khan 10 0 0 17 Jun 2025
Recursive Gaussian Process State Space Model Tengjie Zheng Lin Cheng Lin Cheng Shengping Gong Xu Huang 117 0 0 22 Nov 2024
Prediction of Acoustic Communication Performance for AUVs using Gaussian Process Classification Yifei Gao Harun Yetkin McMahon James D. Stilwell 49 0 0 12 Nov 2024
Streaming Bayes GFlowNets Tiago da Silva Daniel Augusto R. M. A. de Souza Diego Mesquita BDL 148 2 0 08 Nov 2024
Likelihood approximations via Gaussian approximate inference Thang D. Bui 61 0 0 28 Oct 2024
Incremental Structure Discovery of Classification via Sequential Monte Carlo Changze Huang Di Wang 24 0 0 15 Aug 2024
Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations Jian Xu Zhiqi Lin Min Chen Junmei Yang Delu Zeng John Paisley 55 0 0 12 Aug 2024
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering Weizhe (Wesley) Chen Lantao Liu Roni Khardon 59 1 0 06 Jun 2024
Dynamic Online Ensembles of Basis Expansions Daniel Waxman Petar M. Djurić 93 5 0 02 May 2024
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models Yu Zhang Long Wen Xiangtong Yao Zhenshan Bing Linghuan Kong Wei He Alois Knoll 72 1 0 29 Feb 2024
Streaming Gaussian Dirichlet Random Fields for Spatial Predictions of High Dimensional Categorical Observations J. E. S. Soucie H. Sosik Y. Girdhar BDL 58 0 0 23 Feb 2024
Continual Learning via Sequential Function-Space Variational Inference Tim G. J. Rudner Freddie Bickford-Smith Qixuan Feng Yee Whye Teh Y. Gal 74 42 0 28 Dec 2023
Online Student- $t$ Processes with an Overall-local Scale Structure for Modelling Non-stationary Data Taole Sha Michael Minyi Zhang 42 0 0 01 Nov 2023
Resource-Efficient Cooperative Online Scalar Field Mapping via Distributed Sparse Gaussian Process Regression Tianyi Ding Ronghao Zheng Senlin Zhang Meiqin Liu 78 2 0 19 Sep 2023
Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes (with Appendix) Kalvik Jakkala Srinivas Akella 72 10 0 13 Sep 2023
Greedy online change point detection Jou-Hui Ho Felipe A. Tobar 49 1 0 14 Aug 2023
Beyond Intuition, a Framework for Applying GPs to Real-World Data K. Tazi J. Lin Ross Viljoen A. Gardner S. T. John Hong Ge Richard Turner GP 55 4 0 06 Jul 2023
Long-Term Autonomous Ocean Monitoring with Streaming Samples Weizhe (Wesley) Chen Lantao Liu 54 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 93 8 0 06 Jun 2023
Active Cost-aware Labeling of Streaming Data Ti-jian Cai Kirthevasan Kandasamy 37 3 0 13 Apr 2023
Adaptive Sparse Gaussian Process Vanessa Gómez-Verdejo Emilio Parrado-Hernández M. Martínez‐Ramón 38 7 0 20 Feb 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 71 71 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 88 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 127 0 0 16 Oct 2022
Learning robot inverse dynamics using sparse online Gaussian process with forgetting mechanism W. Li Zhi-wen Li Yiqiu Liu Yongping Pan 143 2 0 30 Jul 2022
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes Gregory W. Benton Wesley J. Maddox A. Wilson AI4TS 43 3 0 13 Jul 2022
Information-theoretic Online Memory Selection for Continual Learning Shengyang Sun Daniele Calandriello Huiyi Hu Ang Li Michalis K. Titsias CLL 66 52 0 10 Apr 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 65 14 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 49 3 0 23 Feb 2022
Online Time Series Anomaly Detection with State Space Gaussian Processes Christian Bock Franccois-Xavier Aubet Jan Gasthaus Andrey Kan Ming Chen Laurent Callot AI4TS 62 8 0 18 Jan 2022
Correlated Product of Experts for Sparse Gaussian Process Regression Manuel Schürch Dario Azzimonti A. Benavoli Marco Zaffalon 43 12 0 17 Dec 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making Wesley J. Maddox Samuel Stanton A. Wilson 76 32 0 28 Oct 2021
Modular Gaussian Processes for Transfer Learning P. Moreno-Muñoz Antonio Artés-Rodríguez Mauricio A. Alvarez 41 4 0 26 Oct 2021
Incremental Ensemble Gaussian Processes Qin Lu G. V. Karanikolas G. Giannakis 97 25 0 13 Oct 2021
Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference Michael E. Kepler Alec Koppel Amrit Singh Bedi D. Stilwell 26 3 0 26 Jul 2021
Adaptive Inducing Points Selection For Gaussian Processes Théo Galy-Fajou Manfred Opper 84 16 0 21 Jul 2021
Hida-Matérn Kernel Matthew Dowling Piotr Sokól I. Park BDL 57 2 0 15 Jul 2021
Active and sparse methods in smoothed model checking Paul Piho J. Hillston 36 2 0 20 Apr 2021
Kernel Interpolation for Scalable Online Gaussian Processes Samuel Stanton Wesley J. Maddox Ian A. Delbridge A. Wilson GP 59 30 0 02 Mar 2021
Probabilistic selection of inducing points in sparse Gaussian processes Anders Kirk Uhrenholt V. Charvet B. S. Jensen 35 13 0 19 Oct 2020
Recyclable Gaussian Processes P. Moreno-Muñoz Antonio Artés-Rodríguez Mauricio A. Alvarez BDL 44 1 0 06 Oct 2020
Splitting Gaussian Process Regression for Streaming Data Nick Terry Youngjun Choe 31 11 0 06 Oct 2020
Streaming Probabilistic Deep Tensor Factorization Shikai Fang Zheng Wang Zhimeng Pan Ji Liu Shandian Zhe BDL 18 1 0 14 Jul 2020
Real-Time Regression with Dividing Local Gaussian Processes Armin Lederer Alejandro Jose Ordóñez Conejo K. Maier Wenxin Xiao Jonas Umlauft Sandra Hirche 33 11 0 16 Jun 2020
Variational Auto-Regressive Gaussian Processes for Continual Learning Sanyam Kapoor Theofanis Karaletsos T. Bui BDL 75 26 0 09 Jun 2020
Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck Alec Koppel Hrusikesha Pradhan K. Rajawat 34 32 0 23 Apr 2020
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding Amrit Singh Bedi Dheeraj Peddireddy Vaneet Aggarwal Brian M. Sadler Alec Koppel 23 1 0 23 Mar 2020
Continual Multi-task Gaussian Processes P. Moreno-Muñoz A. Artés-Rodríguez Mauricio A. Alvarez 74 13 0 31 Oct 2019
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Csaba Tóth Harald Oberhauser 45 9 0 19 Jun 2019
Non-Parametric Calibration for Classification Jonathan Wenger Hedvig Kjellström Rudolph Triebel UQCV 116 82 0 12 Jun 2019