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1602.04511
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Learning Granger Causality for Hawkes Processes
14 February 2016
Hongteng Xu
Mehrdad Farajtabar
H. Zha
AI4TS
CML
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Papers citing
"Learning Granger Causality for Hawkes Processes"
50 / 91 papers shown
A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
Hideaki Kim
Tomoharu Iwata
102
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10 Oct 2025
In-Context Learning of Temporal Point Processes with Foundation Inference Models
David Berghaus
Patrick Seifner
K. Cvejoski
C. Ojeda
Ramses J. Sanchez
AI4TS
168
6
0
29 Sep 2025
MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes
Yunyang Cao
Juekai Lin
Wenhao Li
Bo Jin
AI4TS
136
0
0
26 Aug 2025
Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks
Songyao Jin
Biwei Huang
CML
245
0
0
15 Aug 2025
Uncovering Social Network Activity Using Joint User and Topic Interaction
Gaspard Abel
Argyris Kalogeratos
Jean-Pierre Nadal
Julien Randon-Furling
171
0
0
15 Jun 2025
Cardinality-Regularized Hawkes-Granger Model
Neural Information Processing Systems (NeurIPS), 2022
T. Idé
Georgios Kollias
Dzung Phan
Naoki Abe
345
17
0
28 Jan 2025
Unsupervised Event Outlier Detection in Continuous Time
Somjit Nath
Yik Chau Lui
Siqi Liu
AI4TS
302
0
0
25 Nov 2024
Nonparametric estimation of Hawkes processes with RKHSs
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Anna Bonnet
Maxime Sangnier
380
3
0
01 Nov 2024
Neuro-Symbolic Temporal Point Processes
Yang Yang
Chao Yang
Boyang Li
Yinghao Fu
Shuang Li
NAI
AI4TS
182
6
0
06 Jun 2024
A sparsity test for multivariate Hawkes processes
Antoine Lotz
298
5
0
14 May 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records
Hojjat Karami
David Atienza
Anisoara Ionescu
AI4TS
218
7
0
09 Feb 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
D. Wu
Tsuyoshi Idé
Aurélie C. Lozano
Georgios Kollias
Jivrí Navrátil
Naoki Abe
Yi-An Ma
Rose Yu
CML
AI4TS
301
8
0
06 Feb 2024
Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation
Yiling Kuang
Chao Yang
Yang Yang
Shuang Li
AI4TS
CML
222
3
0
03 Feb 2024
Using Counterfactuals to Improve Causal Inferences from Visualizations
IEEE Computer Graphics and Applications (IEEE CG&A), 2024
D. Borland
Arran Zeyu Wang
David Gotz
CML
197
11
0
16 Jan 2024
Explainable History Distillation by Marked Temporal Point Process
Sishun Liu
Ke Deng
Yan Wang
Xiuzhen Zhang
291
0
0
13 Nov 2023
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference
Yan Wang
Zhixuan Chu
Tao Zhou
Caigao Jiang
Hongyan Hao
...
Daixin Wang
Longfei Li
James Y. Zhang
Siqiao Xue
Junqing Zhou
BDL
AI4TS
784
0
0
06 Sep 2023
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
Journal of machine learning research (JMLR), 2023
Katerina Hlaváčková-Schindler
A. Melnykova
I. Tubikanec
376
3
0
05 Sep 2023
Hawkes Processes with Delayed Granger Causality
Chao Yang
Hengyuan Miao
Shuang Li
243
0
0
11 Aug 2023
Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process
Tiantian Feng
Brandon M. Booth
Shrikanth Narayanan
AI4TS
197
0
0
10 Jul 2023
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yuequn Liu
Ruichu Cai
Wei Chen
Jie Qiao
Yuguang Yan
Zijian Li
Keli Zhang
Zijian Li
CML
273
10
0
25 Jun 2023
Deep graph kernel point processes
Zheng Dong
Matthew Repasky
Xiuyuan Cheng
Yao Xie
3DPC
309
5
0
20 Jun 2023
Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes
Yu Chen
Fengpei Li
Anderson Schneider
Yuriy Nevmyvaka
Asohan Amarasingham
Henry Lam
306
1
0
28 May 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Jie Qiao
Ruichu Cai
Siyu Wu
Yu Xiang
Keli Zhang
Zijian Li
CML
AI4TS
266
17
0
10 May 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives
ACM Computing Surveys (ACM Comput. Surv.), 2023
Chang Gong
Di Yao
Chuzhe Zhang
Wenbin Li
Jingping Bi
AI4TS
CML
441
63
0
17 Mar 2023
A neural network based model for multi-dimensional nonlinear Hawkes processes
Journal of Computational and Applied Mathematics (JCAM), 2023
Sobin Joseph
Shashi Jain
240
2
0
06 Mar 2023
A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution
Management Sciences (MS), 2023
Jun Tao
Qian Chen
James W. Snyder
Arava Sai Kumar
A. Meisami
Lingzhou Xue
226
5
0
13 Feb 2023
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe
Renbo Zhao
Niccolò Dalmasso
Mohsen Ghassemi
Vamsi K. Potluru
T. Balch
Manuela Veloso
134
1
0
12 Dec 2022
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
International Conference on Machine Learning (ICML), 2022
Guillaume Staerman
Cédric Allain
Alexandre Gramfort
Thomas Moreau
501
6
0
10 Oct 2022
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes
Knowledge Discovery and Data Mining (KDD), 2022
S. Wei
Yao Xie
C. Josef
Rishikesan Kamaleswaran
459
12
0
09 Sep 2022
Online Learning for Mixture of Multivariate Hawkes Processes
International Conference on AI in Finance (ICAF), 2022
Mohsen Ghassemi
Niccolò Dalmasso
Simran Lamba
Vamsi K. Potluru
Sameena Shah
T. Balch
Manuela Veloso
179
3
0
16 Aug 2022
Exploring Generative Neural Temporal Point Process
Haitao Lin
Lirong Wu
Guojiang Zhao
Pai Liu
Stan Z. Li
DiffM
347
30
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03 Aug 2022
Differentially Private Learning of Hawkes Processes
Mohsen Ghassemi
Eleonora Kreavcić
Niccolò Dalmasso
Vamsi K. Potluru
T. Balch
Manuela Veloso
312
1
0
27 Jul 2022
VAC2: Visual Analysis of Combined Causality in Event Sequences
Sujia Zhu
Yue Shen
Zihao Zhu
Wang Xia
Baofeng Chang
Ronghua Liang
Guodao Sun
CML
285
6
0
11 Jun 2022
Causal Discovery in Hawkes Processes by Minimum Description Length
AAAI Conference on Artificial Intelligence (AAAI), 2022
Amirkasra Jalaldoust
Katerina Hlaváčková-Schindler
Claudia Plant
CML
AI4TS
173
13
0
10 Jun 2022
Nonparametric Conditional Local Independence Testing
Annals of Statistics (Ann. Stat.), 2022
Alexander Mangulad Christgau
Lasse Petersen
N. Hansen
296
13
0
25 Mar 2022
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ming-qian He
Fan He
Lei Shi
Xiaolin Huang
Johan A. K. Suykens
134
16
0
03 Feb 2022
Transformer Embeddings of Irregularly Spaced Events and Their Participants
International Conference on Learning Representations (ICLR), 2021
Chenghao Yang
Hongyuan Mei
Jason Eisner
AI4TS
468
60
0
31 Dec 2021
Universal Transformer Hawkes Process with Adaptive Recursive Iteration
Engineering applications of artificial intelligence (EAAI), 2021
Lu-ning Zhang
Jian-wei Liu
Zhibin Song
Xin Zuo
270
6
0
29 Dec 2021
Temporal Attention Augmented Transformer Hawkes Process
Lu-ning Zhang
Jian Liu
Zhibin Song
Xin Zuo
AI4TS
228
14
0
29 Dec 2021
Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity
Lu-ning Zhang
Jian Liu
Xin Zuo
167
0
0
27 Dec 2021
Tri-Transformer Hawkes Process: Three Heads are better than one
International Conference on Neural Information Processing (ICONIP), 2021
Zhi-yan Song
Jian Liu
Lu-ning Zhang
Ya-nan Han
130
0
0
24 Dec 2021
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Cédric Allain
Alexandre Gramfort
Thomas Moreau
194
5
0
08 Dec 2021
Counterfactual Temporal Point Processes
Neural Information Processing Systems (NeurIPS), 2021
Kimia Noorbakhsh
Manuel Gomez Rodriguez
236
28
0
15 Nov 2021
An Empirical Study: Extensive Deep Temporal Point Process
Haitao Lin
Cheng Tan
Lirong Wu
Zhangyang Gao
Stan. Z. Li
AI4TS
365
14
0
19 Oct 2021
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing
Ghodai M. Abdelrahman
Qing Wang
KELM
AI4Ed
347
81
0
18 Aug 2021
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions
Knowledge Discovery and Data Mining (KDD), 2021
Tianbo Li
Tian-jian Luo
Yiping Ke
Sinno Jialin Pan
123
4
0
07 Jul 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
462
13
0
05 Jun 2021
Causal Graph Discovery from Self and Mutually Exciting Time Series
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2021
S. Wei
Yao Xie
C. Josef
Rishikesan Kamaleswaran
CML
458
2
0
04 Jun 2021
Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
A. Panos
Ioannis Kosmidis
P. Dellaportas
340
3
0
30 May 2021
THP: Topological Hawkes Processes for Learning Causal Structure on Event Sequences
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Ruichu Cai
Siyu Wu
Jie Qiao
Zijian Li
Keli Zhang
Xi Zhang
329
40
0
23 May 2021
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