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Average treatment effects in the presence of unknown interference
v1v2v3v4 (latest)

Average treatment effects in the presence of unknown interference

17 November 2017
F. Sävje
P. Aronow
M. Hudgens
    CML
ArXiv (abs)PDFHTML

Papers citing "Average treatment effects in the presence of unknown interference"

34 / 34 papers shown
Title
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
Bar Weinstein
Daniel Nevo
CML
45
0
0
13 May 2025
Double Machine Learning for Causal Inference under Shared-State Interference
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
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
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
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
Causal effect estimation under network interference with mean-field
  methods
Causal effect estimation under network interference with mean-field methods
Sohom Bhattacharya
Subhabrata Sen
CML
74
2
0
28 Jul 2024
Estimating Treatment Effects under Recommender Interference: A
  Structured Neural Networks Approach
Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach
Ruohan Zhan
Shichao Han
Yuchen Hu
Zhenling Jiang
BDLCML
78
5
0
20 Jun 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under
  Interference
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
Haoxuan Li
Chunyuan Zheng
Sihao Ding
Peng Wu
Zhi Geng
Fuli Feng
Xiangnan He
CML
79
10
0
30 Apr 2024
On the admissibility of Horvitz-Thompson estimator for estimating causal
  effects under network interference
On the admissibility of Horvitz-Thompson estimator for estimating causal effects under network interference
Vishesh Karwa
E. Airoldi
CML
56
0
0
02 Dec 2023
Individualized Policy Evaluation and Learning under Clustered Network Interference
Individualized Policy Evaluation and Learning under Clustered Network Interference
Yi Zhang
Kosuke Imai
OffRL
239
1
0
04 Nov 2023
Causal Estimation of User Learning in Personalized Systems
Causal Estimation of User Learning in Personalized Systems
Evan Munro
David Jones
Jennifer Brennan
Roland Nelet
Vahab Mirrokni
Jean Pouget-Abadie
CML
109
2
0
01 Jun 2023
Evaluating Dynamic Conditional Quantile Treatment Effects with
  Applications in Ridesharing
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing
Ting Li
C. Shi
Zhaohua Lu
Yi Li
Hongtu Zhu
86
5
0
17 May 2023
Optimal transport and Wasserstein distances for causal models
Optimal transport and Wasserstein distances for causal models
Patrick Cheridito
Stephan Eckstein
OT
93
7
0
24 Mar 2023
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
A. Belloni
Fei Fang
A. Volfovsky
CML
171
7
0
07 Dec 2022
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
Inference on Causal Effects of Interventions in Time using Gaussian
  Processes
Inference on Causal Effects of Interventions in Time using Gaussian Processes
G. Giudice
S. Geneletti
K. Kalogeropoulos
9
0
0
06 Oct 2022
Policy Learning with Competing Agents
Policy Learning with Competing Agents
Roshni Sahoo
Stefan Wager
86
10
0
04 Apr 2022
Policy Evaluation for Temporal and/or Spatial Dependent Experiments
Policy Evaluation for Temporal and/or Spatial Dependent Experiments
Shuang Luo
Ying Yang
Chengchun Shi
Fang Yao
Jieping Ye
Hongtu Zhu
120
8
0
22 Feb 2022
Causal Inference with Panel Data under Temporal and Spatial Interference
Causal Inference with Panel Data under Temporal and Spatial Interference
Ye Wang
64
4
0
29 Jun 2021
The Local Approach to Causal Inference under Network Interference
The Local Approach to Causal Inference under Network Interference
Eric Auerbach
Max Tabord-Meehan
Max Tabord-Meehan
CML
90
21
0
09 May 2021
Causal inference with misspecified exposure mappings: separating
  definitions and assumptions
Causal inference with misspecified exposure mappings: separating definitions and assumptions
Fredrik Savje
CML
71
50
0
11 Mar 2021
Design and Analysis of Bipartite Experiments under a Linear
  Exposure-Response Model
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
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
Policy design in experiments with unknown interference
Davide Viviano
Jess Rudder
72
8
0
16 Nov 2020
Treatment Allocation with Strategic Agents
Treatment Allocation with Strategic Agents
Evan Munro
85
6
0
12 Nov 2020
Design-Based Inference for Spatial Experiments under Unknown
  Interference
Design-Based Inference for Spatial Experiments under Unknown Interference
Ye Wang
Cyrus Samii
Haoge Chang
P. Aronow
CML
52
4
0
26 Oct 2020
Random Graph Asymptotics for Treatment Effect Estimation under Network
  Interference
Random Graph Asymptotics for Treatment Effect Estimation under Network Interference
Shuangning Li
Stefan Wager
CML
79
59
0
27 Jul 2020
Panel Experiments and Dynamic Causal Effects: A Finite Population
  Perspective
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
Iavor Bojinov
Ashesh Rambachan
N. Shephard
40
49
0
22 Mar 2020
Almost-Matching-Exactly for Treatment Effect Estimation under Network
  Interference
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
A note on Horvitz-Thompson estimators for rare subgroup analysis in the presence of interference
Erin E Gabriel
8
0
0
08 Jan 2020
Policy Targeting under Network Interference
Policy Targeting under Network Interference
Davide Viviano
184
34
0
24 Jun 2019
Randomization for the susceptibility effect of an infectious disease
  intervention
Randomization for the susceptibility effect of an infectious disease intervention
Daniel J. Eck
O. Morozova
Forrest W. Crawford
CML
19
5
0
16 Aug 2018
Causal inference for social network data
Causal inference for social network data
Elizabeth L. Ogburn
Oleg Sofrygin
Iván Díaz
M. J. van der Laan
CML
55
110
0
23 May 2017
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