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Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components

14 November 2014

Papers citing "Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components"

30 / 30 papers shown

Title
A Practical Approach to Causal Inference over Time Martina Cinquini Isacco Beretta Salvatore Ruggieri Isabel Valera CML 140 2 0 14 Oct 2024
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise Augusto Santos Diogo Rente Rui Seabra José M. F. Moura 110 4 0 10 Dec 2023
Causal Inference for Banking Finance and Insurance A Survey Satyam Kumar Yelleti Vivek V. Ravi I. Bose CML 86 3 0 31 Jul 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 118 19 0 17 Mar 2023
Information Theoretic Measures of Causal Influences during Transient Neural Events K. Shao N. Logothetis M. Besserve CML 83 4 0 15 Sep 2022
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach Sérgio Machado Anirudh Sridhar P. Gil J. Henriques J. M. F. Moura A. Santos CML 74 2 0 08 Aug 2022
Topology Inference for Network Systems: Causality Perspective and Non-asymptotic Performance Yushan Li Jianping He Cailian Chen X. Guan 131 5 0 02 Jun 2021
Topology Inference for Multi-agent Cooperation under Unmeasurable Latent Input Qing Jiao Yushan Li Jianping He Ling Shi 133 2 0 08 Nov 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data Sindy Löwe David Madras R. Zemel Max Welling CML BDL AI4TS 129 135 0 18 Jun 2020
Fairness in Forecasting and Learning Linear Dynamical Systems Quan-Gen Zhou Jakub Mareˇcek Robert Shorten AI4TS 96 7 0 12 Jun 2020
Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem Quan-Gen Zhou Jakub Mareˇcek 84 2 0 04 Feb 2020
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects Fredrik D. Johansson Uri Shalit Nathan Kallus David Sontag CML OOD 130 100 0 21 Jan 2020
Graph Learning Under Partial Observability Vincenzo Matta A. Santos Ali H. Sayed 137 0 0 18 Dec 2019
Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network Yuan Meng CML BDL 158 3 0 09 Sep 2019
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery Chenwei Ding Biwei Huang Kun Zhang Dacheng Tao CML 57 6 0 04 Sep 2019
Topology Inference over Networks with Nonlinear Coupling A. Santos Vincenzo Matta Ali H. Sayed 127 0 0 21 Jun 2019
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models Erdun Gao Kun Zhang Biwei Huang Clark Glymour CML AI4TS 102 64 0 26 May 2019
Graph Learning over Partially Observed Diffusion Networks: Role of Degree Concentration Vincenzo Matta A. Santos Ali H. Sayed 162 2 0 05 Apr 2019
Sparse Learning for Variable Selection with Structures and Nonlinearities Magda Gregorova 71 1 0 26 Mar 2019
Learning Latent Fractional dynamics with Unknown Unknowns Gaurav Gupta S. Pequito P. Bogdan 65 34 0 02 Nov 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 88 168 0 25 Sep 2018
Local Tomography of Large Networks under the Low-Observability Regime A. Santos Vincenzo Matta Ali H. Sayed 82 27 0 23 May 2018
Potential Conditional Mutual Information: Estimators, Properties and Applications Arman Rahimzamani Sreeram Kannan 53 11 0 13 Oct 2017
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks Magda Gregorova Alexandros Kalousis Stéphane Marchand-Maillet AI4TS 73 3 0 02 Oct 2017
Consistent Tomography under Partial Observations over Adaptive Networks Vincenzo Matta Ali H. Sayed 141 35 0 20 Jul 2017
Learning Vector Autoregressive Models with Latent Processes Saber Salehkaleybar Jalal Etesami Negar Kiyavash Kun Zhang CML 52 0 0 27 Feb 2017
Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables Saber Salehkaleybar Jalal Etesami Negar Kiyavash CML 47 4 0 23 Jan 2017
Learning Temporal Dependence from Time-Series Data with Latent Variables Hossein Hosseini Sreeram Kannan Baosen Zhang Radha Poovendran AI4TS CML 46 5 0 27 Aug 2016
Private Causal Inference Matt J. Kusner Yu Sun Karthik Sridharan Kilian Q. Weinberger CML 152 25 0 17 Dec 2015
Learning Leading Indicators for Time Series Predictions Magda Gregorova Alexandros Kalousis Stéphane Marchand-Maillet AI4TS CML 73 3 0 07 Jul 2015