State Space Gaussian Processes with Non-Gaussian Likelihood

v1v2v3v4v5 (latest)

State Space Gaussian Processes with Non-Gaussian Likelihood

13 February 2018

Arno Solin

A. Grigorevskiy

ArXiv (abs)PDF HTML

Papers citing "State Space Gaussian Processes with Non-Gaussian Likelihood"

14 / 14 papers shown

Title
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks Xingchi Liu Lyudmila Mihaylova Jemin George T. Pham 69 9 0 11 Sep 2024
Privacy-aware Gaussian Process Regression Rui Tuo R. Bhattacharya 53 1 0 25 May 2023
Recurrent Neural Networks and Universal Approximation of Bayesian Filters A. Bishop Edwin V. Bonilla BDL 73 3 0 01 Nov 2022
Spatio-Temporal Variational Gaussian Processes Oliver Hamelijnck William J. Wilkinson Niki A. Loppi Arno Solin Theodoros Damoulas AI4TS 72 35 0 02 Nov 2021
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees William J. Wilkinson Simo Särkkä Arno Solin BDL 85 16 0 02 Nov 2021
Sparse Algorithms for Markovian Gaussian Processes William J. Wilkinson Arno Solin Vincent Adam 62 12 0 19 Mar 2021
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes William J. Wilkinson Paul E. Chang Michael Riis Andersen Arno Solin 58 13 0 12 Jul 2020
Fast Variational Learning in State-Space Gaussian Process Models Paul E. Chang William J. Wilkinson Mohammad Emtiyaz Khan Arno Solin BDL 79 24 0 09 Jul 2020
Linear-time inference for Gaussian Processes on one dimension Jackson Loper David M. Blei John P. Cunningham Liam Paninski 85 17 0 11 Mar 2020
Learning Probabilistic Intersection Traffic Models for Trajectory Prediction Andrew Patterson Aditya Gahlawat N. Hovakimyan 19 2 0 05 Feb 2020
Doubly Sparse Variational Gaussian Processes Vincent Adam Stefanos Eleftheriadis N. Durrande A. Artemev J. Hensman 82 26 0 15 Jan 2020
Black-Box Inference for Non-Linear Latent Force Models W. Ward Tom Ryder D. Prangle Mauricio A. Alvarez DRL 69 14 0 21 Jun 2019
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data Daniel Zilber Matthias Katzfuss 84 34 0 18 Jun 2019
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction Bryan Lim S. Zohren Stephen J. Roberts BDL AI4TS 61 40 0 23 Jan 2019