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The Local Approach to Causal Inference under Network Interference
v1v2v3v4v5 (latest)

The Local Approach to Causal Inference under Network Interference

9 May 2021
Eric Auerbach
Max Tabord-Meehan
Max Tabord-Meehan
    CML
ArXiv (abs)PDFHTML

Papers citing "The Local Approach to Causal Inference under Network Interference"

12 / 12 papers shown
Title
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
Michael O'Riordan
Ciarán M. Gilligan-Lee
CML
61
1
0
24 Mar 2025
Higher-Order Causal Message Passing for Experimentation with Complex Interference
Higher-Order Causal Message Passing for Experimentation with Complex Interference
Mohsen Bayati
Yuwei Luo
William Overman
Sadegh Shirani
Ruoxuan Xiong
84
0
0
01 Nov 2024
A/B testing under Interference with Partial Network Information
A/B testing under Interference with Partial Network Information
Shiv Shankar
Ritwik Sinha
Yash Chandak
Saayan Mitra
M. Fiterau
78
2
0
16 Apr 2024
Graph Machine Learning based Doubly Robust Estimator for Network Causal
  Effects
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
Network Synthetic Interventions: A Causal Framework for Panel Data Under
  Network Interference
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
A Design-Based Riesz Representation Framework for Randomized Experiments
Christopher Harshaw
Fredrik Sävje
Yitan Wang
CML
63
7
0
17 Oct 2022
Semiparametric Estimation of Treatment Effects in Observational Studies
  with Heterogeneous Partial Interference
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
Zhaonan Qu
Ruoxuan Xiong
Jizhou Liu
Guido Imbens
39
10
0
26 Jul 2021
Causal inference with misspecified exposure mappings: separating
  definitions and assumptions
Causal inference with misspecified exposure mappings: separating definitions and assumptions
Fredrik Savje
CML
63
50
0
11 Mar 2021
Universal consistency and rates of convergence of multiclass prototype
  algorithms in metric spaces
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces
László Gyorfi
Roi Weiss
98
20
0
01 Oct 2020
Average treatment effects in the presence of unknown interference
Average treatment effects in the presence of unknown interference
F. Sävje
P. Aronow
M. Hudgens
CML
96
157
0
17 Nov 2017
Exact P-values for Network Interference
Exact P-values for Network Interference
Susan Athey
Dean Eckles
Guido Imbens
105
226
0
05 Jun 2015
Estimating Average Causal Effects Under General Interference, with
  Application to a Social Network Experiment
Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment
P. Aronow
Cyrus Samii
CML
101
254
0
27 May 2013
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