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Causal inference for social network data

23 May 2017

Papers citing "Causal inference for social network data"

31 / 31 papers shown

Title
Scalable Policy Maximization Under Network Interference Aidan Gleich Eric B. Laber Alexander Volfovsky 40 0 0 23 May 2025
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network Bar Weinstein Daniel Nevo CML 45 0 0 13 May 2025
Causally Fair Node Classification on Non-IID Graph Data Yucong Dai Lu Zhang Yaowei Hu Susan Gauch Yongkai Wu FaML 98 0 0 03 May 2025
Double Machine Learning for Causal Inference under Shared-State Interference Chris Hays Manish Raghavan CML 78 0 0 10 Apr 2025
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models Michael O'Riordan Ciarán M. Gilligan-Lee CML 61 1 0 24 Mar 2025
Treatment Effect Estimation with Observational Network Data using Machine Learning Corinne Emmenegger Meta-Lina Spohn Timon Elmer Peter Buhlmann CML 204 3 1 20 Jan 2025
Estimating the treatment effect over time under general interference through deep learner integrated TMLE Suhan Guo Furao Shen Ni Li CML 164 0 0 06 Dec 2024
Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding Yufeng Wu Rohit Bhattacharya CML 85 0 0 02 Nov 2024
Asymmetric Graph Error Control with Low Complexity in Causal Bandits Chen Peng Di Zhang Urbashi Mitra CML 82 4 0 20 Aug 2024
Causal effect estimation under network interference with mean-field methods Sohom Bhattacharya Subhabrata Sen CML 74 2 0 28 Jul 2024
A/B testing under Interference with Partial Network Information Shiv Shankar Ritwik Sinha Yash Chandak Saayan Mitra M. Fiterau 83 2 0 16 Apr 2024
Least Squares Inference for Data with Network Dependency Jing Lei Kehui Chen Haeun Moon 75 0 0 02 Apr 2024
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects Seyedeh Baharan Khatami Harsh Parikh Haowei Chen Sudeepa Roy Babak Salimi OOD 86 1 0 17 Mar 2024
Contagion Effect Estimation Using Proximal Embeddings Zahra Fatemi Elena Zheleva 51 1 0 04 Jun 2023
Adaptive Sequential Surveillance with Network and Temporal Dependence Ivana Malenica Jeremy Coyle Mark van der Laan M. Petersen 16 2 0 05 Dec 2022
Privacy Aware Experiments without Cookies Shiv Shankar Ritwik Sinha Saayan Mitra Viswanathan Swaminathan Sridhar Mahadevan Moumita Sinha 146 4 0 03 Nov 2022
Learning Individual Treatment Effects under Heterogeneous Interference in Networks Ziyu Zhao Yuqi Bai Kun Kuang Ruoxuan Xiong Leilei Gan CML 72 8 0 25 Oct 2022
Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference Anish Agarwal Sarah H. Cen Devavrat Shah Christina Lee Yu CML 91 5 0 20 Oct 2022
A Design-Based Riesz Representation Framework for Randomized Experiments Christopher Harshaw Fredrik Sävje Yitan Wang CML 70 7 0 17 Oct 2022
Regression Identifiability and Edge Interventions in Linear Structural Equation Models Bohao Yao R. Evans CML 21 0 0 26 May 2022
Using Embeddings for Causal Estimation of Peer Influence in Social Networks Irina Cristali Victor Veitch CML 64 12 0 17 May 2022
Estimating Social Influence from Observational Data Dhanya Sridhar Caterina De Bacco David M. Blei 65 3 0 24 Mar 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 102 54 0 07 Feb 2022
Causal Inference with Panel Data under Temporal and Spatial Interference Ye Wang 64 4 0 29 Jun 2021
Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model Christopher Harshaw Fredrik Sävje David Eisenstat Vahab Mirrokni Jean Pouget-Abadie 104 34 0 11 Mar 2021
Sequential causal inference in a single world of connected units Aurélien F. Bibaut M. Petersen N. Vlassis Maria Dimakopoulou Mark van der Laan CML OffRL 74 10 0 18 Jan 2021
Design-Based Inference for Spatial Experiments under Unknown Interference Ye Wang Cyrus Samii Haoge Chang P. Aronow CML 54 4 0 26 Oct 2020
Causal Relational Learning Babak Salimi Harsh Parikh Moe Kayali Sudeepa Roy Lise Getoor Dan Suciu CML 46 44 0 07 Apr 2020
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 88 41 0 20 Feb 2020
The Big Three: A Methodology to Increase Data Science ROI by Answering the Questions Companies Care About Daniel K. Griffin 37 1 0 12 Feb 2020
Policy Targeting under Network Interference Davide Viviano 194 34 0 24 Jun 2019