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Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment

27 May 2013

Papers citing "Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment"

32 / 32 papers shown

Title
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects Seyedeh Baharan Khatami Harsh Parikh Haowei Chen Sudeepa Roy Babak Salimi OOD 78 1 0 17 Mar 2024
Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms Yongkang Guo Yuan. Yuan Jinshan Zhang Yuqing Kong Zhihua Zhu Zheng Cai 41 1 0 10 Feb 2023
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
Unbiased estimation for additive exposure models Kelly Kung D. Sussman CML 53 0 0 02 Sep 2022
Learning Causal Effects on Hypergraphs Jing Ma Mengting Wan Longqi Yang Jundong Li Brent J. Hecht J. Teevan CML 60 49 0 07 Jul 2022
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign Henrika Langen M. Huber CML 46 13 0 22 Apr 2022
Policy Evaluation for Temporal and/or Spatial Dependent Experiments Shuang Luo Ying Yang Chengchun Shi Fang Yao Jieping Ye Hongtu Zhu 122 8 0 22 Feb 2022
Multiple Randomization Designs Patrick Bajari Brian Burdick Guido Imbens L. Masoero James McQueen Thomas S. Richardson Ido Rosen 84 45 0 27 Dec 2021
Disaggregated Interventions to Reduce Inequality Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 84 13 0 01 Jul 2021
Causal Inference with Panel Data under Temporal and Spatial Interference Ye Wang 64 4 0 29 Jun 2021
Feedback Shaping: A Modeling Approach to Nurture Content Creation Ye Tu Chun Lo Yiping Yuan S. Chatterjee 26 8 0 21 Jun 2021
The Local Approach to Causal Inference under Network Interference Eric Auerbach Max Tabord-Meehan Max Tabord-Meehan CML 90 21 0 09 May 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
Population Interference in Panel Experiments K. Han Iavor Bojinov Guillaume W. Basse 22 8 0 28 Feb 2021
Policy design in experiments with unknown interference Davide Viviano Jess Rudder 72 8 0 16 Nov 2020
Random Graph Asymptotics for Treatment Effect Estimation under Network Interference Shuangning Li Stefan Wager CML 83 59 0 27 Jul 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 108 7 0 02 Jun 2020
Automatic Detection of Influential Actors in Disinformation Networks S. Smith E. Kao Erika Mackin Danelle C. Shah O. Simek D. Rubin GNN 109 40 0 21 May 2020
Causal Relational Learning Babak Salimi Harsh Parikh Moe Kayali Sudeepa Roy Lise Getoor Dan Suciu CML 44 44 0 07 Apr 2020
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective Iavor Bojinov Ashesh Rambachan N. Shephard 42 49 0 22 Mar 2020
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference M. Usaid Awan Marco Morucci Vittorio Orlandi Sudeepa Roy Cynthia Rudin A. Volfovsky CML 88 13 0 02 Mar 2020
A note on Horvitz-Thompson estimators for rare subgroup analysis in the presence of interference Erin E Gabriel 10 0 0 08 Jan 2020
Counterfactual Distribution Regression for Structured Inference Nicolo Colombo Ricardo M. A. Silva Soong Moon Kang Arthur Gretton OOD OffRL 8 0 0 20 Aug 2019
Policy Targeting under Network Interference Davide Viviano 184 34 0 24 Jun 2019
Sampling-based randomized designs for causal inference under the potential outcomes framework Zach Branson Tirthankar Dasgupta CML 18 7 0 05 Aug 2018
Central limit theorems via Stein's method for randomized experiments under interference Alex J. Chin 64 29 0 09 Apr 2018
A Unified Theory of Regression Adjustment for Design-based Inference J. Middleton CML 46 17 0 15 Mar 2018
Propensity score methodology in the presence of network entanglement between treatments Panos Toulis A. Volfovsky E. Airoldi CML 41 16 0 22 Jan 2018
Confidence intervals for means under constrained dependence P. Aronow Forrest W. Crawford J. Zubizarreta 13 2 0 01 Feb 2016
Model-assisted design of experiments in the presence of network correlated outcomes Guillaume W. Basse E. Airoldi CML 53 73 0 03 Jul 2015
Exact P-values for Network Interference Susan Athey Dean Eckles Guido Imbens 107 226 0 05 Jun 2015
Designing and Deploying Online Field Experiments E. Bakshy Dean Eckles Michael S. Bernstein 77 223 0 10 Sep 2014