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Large-Scale Cox Process Inference using Variational Fourier Features

Large-Scale Cox Process Inference using Variational Fourier Features

3 April 2018
S. T. John
J. Hensman
ArXiv (abs)PDFHTML

Papers citing "Large-Scale Cox Process Inference using Variational Fourier Features"

13 / 13 papers shown
Title
K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
K2^22IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
Hideaki Kim
Tomoharu Iwata
Akinori Fujino
23
0
0
30 May 2025
Causal Modeling of Policy Interventions From Sequences of Treatments and
  Outcomes
Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes
Caglar Hizli
S. T. John
A. Juuti
Tuure Saarinen
Kirsi Pietiläinen
Pekka Marttinen
CML
65
1
0
09 Sep 2022
Variational Nearest Neighbor Gaussian Process
Variational Nearest Neighbor Gaussian Process
Luhuan Wu
Geoff Pleiss
John P. Cunningham
BDL
94
15
0
03 Feb 2022
The Minecraft Kernel: Modelling correlated Gaussian Processes in the
  Fourier domain
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
F. Simpson
A. Boukouvalas
Václav Cadek
E. Sarkans
N. Durrande
43
3
0
11 Mar 2021
Posterior Contraction Rates for Gaussian Cox Processes with
  Non-identically Distributed Data
Posterior Contraction Rates for Gaussian Cox Processes with Non-identically Distributed Data
James A. Grant
David S. Leslie
49
1
0
20 Jun 2019
Adaptive Sensor Placement for Continuous Spaces
Adaptive Sensor Placement for Continuous Spaces
James A Grant
A. Boukouvalas
Ryan-Rhys Griffiths
David S Leslie
Sattar Vakili
Enrique Munoz de Cote
54
13
0
16 May 2019
Know Your Boundaries: Constraining Gaussian Processes by Variational
  Harmonic Features
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Arno Solin
Manon Kok
71
23
0
10 Apr 2019
Gaussian Process Modulated Cox Processes under Linear Inequality
  Constraints
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
A. F. López-Lopera
S. T. John
N. Durrande
74
16
0
28 Feb 2019
Bayesian Layers: A Module for Neural Network Uncertainty
Bayesian Layers: A Module for Neural Network Uncertainty
Dustin Tran
Michael W. Dusenberry
Mark van der Wilk
Danijar Hafner
UQCVBDL
128
124
0
10 Dec 2018
Adaptive Policies for Perimeter Surveillance Problems
Adaptive Policies for Perimeter Surveillance Problems
James A. Grant
David S. Leslie
K. Glazebrook
R. Szechtman
Adam N. Letchford
61
13
0
04 Oct 2018
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes
Christian Donner
Manfred Opper
89
36
0
02 Aug 2018
Efficient Inference in Multi-task Cox Process Models
Efficient Inference in Multi-task Cox Process Models
Virginia Aglietti
Theodoros Damoulas
Edwin V. Bonilla
70
8
0
24 May 2018
Generic Inference in Latent Gaussian Process Models
Generic Inference in Latent Gaussian Process Models
Edwin V. Bonilla
K. Krauth
Amir Dezfouli
BDL
64
28
0
02 Sep 2016
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