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Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes
v1v2 (latest)

Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes

2 August 2018
Christian Donner
Manfred Opper
ArXiv (abs)PDFHTML

Papers citing "Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes"

18 / 18 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
Federated Neural Nonparametric Point Processes
Federated Neural Nonparametric Point Processes
Hui Chen
Hengyu Liu
Hengyu Liu
Xuhui Fan
Zhilin Zhao
Feng Zhou
Christopher J. Quinn
Longbing Cao
FedML
98
0
0
08 Oct 2024
Nonstationary Sparse Spectral Permanental Process
Nonstationary Sparse Spectral Permanental Process
Zicheng Sun
Yixuan Zhang
Zenan Ling
Xuhui Fan
Feng Zhou
38
0
0
04 Oct 2024
Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
Zeyue Zhang
Xiaoling Lu
Feng Zhou
30
1
0
26 Sep 2024
Exact Bayesian Gaussian Cox Processes Using Random Integral
Exact Bayesian Gaussian Cox Processes Using Random Integral
Bingjing Tang
Julia Palacios
37
0
0
28 Jun 2024
Bayesian Optimization through Gaussian Cox Process Models for
  Spatio-temporal Data
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
Yongsheng Mei
Mahdi Imani
Tian-Shing Lan
GP
80
5
0
25 Jan 2024
Heterogeneous Multi-Task Gaussian Cox Processes
Heterogeneous Multi-Task Gaussian Cox Processes
Feng Zhou
Quyu Kong
Zhijie Deng
Fengxiang He
Peng Cui
Jun Zhu
92
2
0
29 Aug 2023
Scalable and adaptive variational Bayes methods for Hawkes processes
Scalable and adaptive variational Bayes methods for Hawkes processes
Déborah Sulem
Vincent Rivoirard
Judith Rousseau
68
0
0
01 Dec 2022
Case Studies for Computing Density of Reachable States for Safe
  Autonomous Motion Planning
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning
Yue Meng
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
54
5
0
16 Sep 2022
Deep Neyman-Scott Processes
Deep Neyman-Scott Processes
Chengkuan Hong
C. Shelton
119
5
0
06 Nov 2021
Sensing Cox Processes via Posterior Sampling and Positive Bases
Sensing Cox Processes via Posterior Sampling and Positive Bases
Mojmír Mutný
Andreas Krause
50
5
0
21 Oct 2021
Learning Density Distribution of Reachable States for Autonomous Systems
Learning Density Distribution of Reachable States for Autonomous Systems
Yue Meng
Dawei Sun
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
115
19
0
14 Sep 2021
Nonlinear Hawkes Process with Gaussian Process Self Effects
Nonlinear Hawkes Process with Gaussian Process Self Effects
Noa Malem-Shinitski
C. Ojeda
Manfred Opper
SyDa
27
2
0
20 May 2021
Efficient Inference of Flexible Interaction in Spiking-neuron Networks
Efficient Inference of Flexible Interaction in Spiking-neuron Networks
Feng Zhou
Yixuan Zhang
Jun Zhu
15
0
0
23 Jun 2020
Fast and Flexible Temporal Point Processes with Triangular Maps
Fast and Flexible Temporal Point Processes with Triangular Maps
Oleksandr Shchur
Nicholas Gao
Marin Bilovs
Stephan Günnemann
115
35
0
22 Jun 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian
  Process Models
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models
Théo Galy-Fajou
F. Wenzel
Manfred Opper
57
4
0
26 Feb 2020
Structured Variational Inference in Continuous Cox Process Models
Structured Variational Inference in Continuous Cox Process Models
Virginia Aglietti
Edwin V. Bonilla
Theodoros Damoulas
Sally Cripps
72
13
0
07 Jun 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
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