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Learning Granger Causality for Hawkes Processes

14 February 2016

Papers citing "Learning Granger Causality for Hawkes Processes"

47 / 47 papers shown

Title
Cardinality-Regularized Hawkes-Granger Model T. Idé Georgios Kollias Dzung Phan Naoki Abe 114 12 0 28 Jan 2025
Nonparametric estimation of Hawkes processes with RKHSs Anna Bonnet Maxime Sangnier 99 0 0 01 Nov 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records Hojjat Karami David Atienza Anisoara Ionescu AI4TS 57 2 0 09 Feb 2024
Hawkes Processes with Delayed Granger Causality Chao Yang Hengyuan Miao Shuang Li 81 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 44 0 0 10 Jul 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 121 1 0 28 May 2023
A neural network based model for multi-dimensional nonlinear Hawkes processes Sobin Joseph Shashi Jain 85 2 0 06 Mar 2023
A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution Jun Tao Qian Chen James W. Snyder Arava Sai Kumar A. Meisami Lingzhou Xue 52 3 0 13 Feb 2023
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels Guillaume Staerman Cédric Allain Alexandre Gramfort Thomas Moreau 100 5 0 10 Oct 2022
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran 104 10 0 09 Sep 2022
Online Learning for Mixture of Multivariate Hawkes Processes Mohsen Ghassemi Niccolò Dalmasso Simran Lamba Vamsi K. Potluru Sameena Shah T. Balch Manuela Veloso 36 3 0 16 Aug 2022
Differentially Private Learning of Hawkes Processes Mohsen Ghassemi Eleonora Kreavcić Niccolò Dalmasso Vamsi K. Potluru T. Balch Manuela Veloso 111 1 0 27 Jul 2022
Nonparametric Conditional Local Independence Testing Alexander Mangulad Christgau Lasse Petersen N. Hansen 100 9 0 25 Mar 2022
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation Ming-qian He Fan He Lei Shi Xiaolin Huang Johan A. K. Suykens 48 12 0 03 Feb 2022
Transformer Embeddings of Irregularly Spaced Events and Their Participants Chenghao Yang Hongyuan Mei Jason Eisner AI4TS 104 60 0 31 Dec 2021
Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity Lu-ning Zhang Jian Liu Xin Zuo 55 0 0 27 Dec 2021
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals Cédric Allain Alexandre Gramfort Thomas Moreau 56 5 0 08 Dec 2021
Counterfactual Temporal Point Processes Kimia Noorbakhsh Manuel Gomez Rodriguez 87 22 0 15 Nov 2021
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing Ghodai M. Abdelrahman Qing Wang KELM AI4Ed 106 49 0 18 Aug 2021
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions Tianbo Li Tian-jian Luo Yiping Ke Sinno Jialin Pan 32 4 0 07 Jul 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 103 9 0 05 Jun 2021
THP: Topological Hawkes Processes for Learning Causal Structure on Event Sequences Ruichu Cai Siyu Wu Jie Qiao Zijian Li Keli Zhang Xi Zhang 95 25 0 23 May 2021
Granger Causality: A Review and Recent Advances Ali Shojaie E. Fox CML AI4TS 90 279 0 05 May 2021
Hawkes Processes on Graphons Hongteng Xu Dixin Luo H. Zha 65 1 0 04 Feb 2021
Visual Causality Analysis of Event Sequence Data Zhuochen Jin Shunan Guo Nan Chen Daniel Weiskopf David Gotz Nan Cao CML 62 44 0 01 Sep 2020
Survey on Visual Analysis of Event Sequence Data Yi Guo Shunan Guo Zhuochen Jin Smiti Kaul David Gotz Nan Cao AI4TS 73 106 0 25 Jun 2020
Uncertainty Quantification for Inferring Hawkes Networks Haoyun Wang Liyan Xie Alex Cuozzo Simon Mak Yao Xie 50 17 0 12 Jun 2020
Information-Theoretic Generalization Bounds for Meta-Learning and Applications Sharu Theresa Jose Osvaldo Simeone 76 47 0 09 May 2020
The statistical physics of discovering exogenous and endogenous factors in a chain of events Shinsuke Koyama S. Shinomoto 118 8 0 02 Mar 2020
Learning Multivariate Hawkes Processes at Scale Maximilian Nickel Matt Le 81 17 0 28 Feb 2020
Group Network Hawkes Process Guanhua Fang Ganggang Xu Haochen Xu Xuening Zhu Yongtao Guan 97 22 0 20 Feb 2020
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods W. Zhang Thomas Kobber Panum S. Jha P. Chalasani David Page CML AI4TS 62 49 0 18 Feb 2020
Learning Hawkes Processes from a Handful of Events Farnood Salehi W. Trouleau Matthias Grossglauser Patrick Thiran BDL CML 110 37 0 01 Nov 2019
Self-Attentive Hawkes Processes Qiang Zhang Aldo Lipani Ömer Kirnap Emine Yilmaz AI4TS 108 45 0 17 Jul 2019
PoPPy: A Point Process Toolbox Based on PyTorch Hongteng Xu 3DPC 50 11 0 23 Oct 2018
Efficient Non-parametric Bayesian Hawkes Processes Rui Zhang Christian J. Walder Marian-Andrei Rizoiu Lexing Xie 74 38 0 08 Oct 2018
Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers Sandeep Soni S. L. Ramirez Jacob Eisenstein TDI 49 8 0 16 Feb 2018
Nonparametric Hawkes Processes: Online Estimation and Generalization Bounds Yingxiang Yang Jalal Etesami Niao He Negar Kiyavash 70 5 0 25 Jan 2018
Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling Emmanuel Bacry Martin Bompaire Stéphane Gaïffas Søren Poulsen 87 71 0 10 Jul 2017
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks Shuai Xiao Junchi Yan Mehrdad Farajtabar Le Song Xiaokang Yang H. Zha AI4TS 81 44 0 24 Mar 2017
Fake News Mitigation via Point Process Based Intervention Mehrdad Farajtabar Jiachen Yang X. Ye Huan Xu Rakshit S. Trivedi Elias Boutros Khalil Shuang Li Le Song H. Zha GNN 79 155 0 22 Mar 2017
Learning Hawkes Processes from Short Doubly-Censored Event Sequences Hongteng Xu Dixin Luo H. Zha AI4TS 139 60 0 22 Feb 2017
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering Hongteng Xu H. Zha 74 71 0 31 Jan 2017
Uncovering Causality from Multivariate Hawkes Integrated Cumulants M. Achab Emmanuel Bacry Stéphane Gaïffas I. Mastromatteo Jean-François Muzy 92 91 0 21 Jul 2016
Detecting weak changes in dynamic events over networks Shuang Li Yao Xie Mehrdad Farajtabar Apurv Verma Le Song 90 9 0 29 Mar 2016
Multivariate Hawkes Processes for Large-scale Inference Rémi Lemonnier Kevin Scaman Argyris Kalogeratos 109 36 0 26 Feb 2016
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution Mehrdad Farajtabar Yichen Wang Manuel Gomez Rodriguez Shuang Li H. Zha Le Song 112 241 0 08 Jul 2015