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2002.08506
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Causal Inference under Networked Interference and Intervention Policy Enhancement
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
20 February 2020
Yunpu Ma
Volker Tresp
CML
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Papers citing
"Causal Inference under Networked Interference and Intervention Policy Enhancement"
25 / 25 papers shown
Estimating Treatment Effects in Networks using Domain Adversarial Training
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Jente Van Belle
Wouter Verbeke
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176
0
0
24 Oct 2025
Estimating Heterogeneous Causal Effect on Networks via Orthogonal Learning
Yuanchen Wu
Yubai Yuan
CML
313
1
0
23 Sep 2025
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
Bar Weinstein
Daniel Nevo
CML
348
2
0
13 May 2025
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Hechuan Wen
Tong Chen
Mingming Gong
Li Kheng Chai
S. Sadiq
Hongzhi Yin
CML
350
4
0
08 May 2025
Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
Shishir Adhikari
Sourav Medya
Elena Zheleva
CML
224
1
0
03 Mar 2025
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption
Weilin Chen
Ruichu Cai
Jie Qiao
Yuguang Yan
José Miguel Hernández-Lobato
CML
427
2
0
27 Feb 2025
Estimating the treatment effect over time under general interference through deep learner integrated TMLE
Suhan Guo
Jian Zhao
Ni Li
CML
393
1
0
06 Dec 2024
DAG-aware Transformer for Causal Effect Estimation
Manqing Liu
David R. Bellamy
Andrew L. Beam
CML
307
5
0
13 Oct 2024
Optimizing Treatment Allocation in the Presence of Interference
European Journal of Operational Research (EJOR), 2024
Daan Caljon
Jente Van Belle
Jeroen Berrevoets
Wouter Verbeke
389
3
0
30 Sep 2024
IntOPE: Off-Policy Evaluation in the Presence of Interference
Yuqi Bai
Ziyu Zhao
Minqin Zhu
Minqin Zhu
Kun Kuang
OffRL
356
0
0
24 Aug 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives
Yaochen Zhu
Yinhan He
Jing Ma
Mengxuan Hu
Sheng Li
Jundong Li
CML
341
12
0
20 Jun 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
International Conference on Machine Learning (ICML), 2024
Weilin Chen
Ruichu Cai
Zeqin Yang
Jie Qiao
Yuguang Yan
Zijian Li
Zhifeng Hao
CML
351
15
0
06 May 2024
Uplift Modeling Under Limited Supervision
G. Panagopoulos
Daniele Malitesta
Fragkiskos D. Malliaros
Jun Pang
CML
423
3
0
28 Mar 2024
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
Seyedeh Baharan Khatami
Harsh Parikh
Haowei Chen
Sudeepa Roy
Babak Salimi
OOD
309
5
0
17 Mar 2024
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
SDM (SDM), 2024
Ziqiang Cui
Xing Tang
Yang Qiao
Bowei He
Liang Chen
Xiuqiang He
Chen Ma
CML
294
1
0
12 Jan 2024
SpaCE: The Spatial Confounding Environment
International Conference on Learning Representations (ICLR), 2023
Mauricio Tec
A. Trisovic
Michelle Audirac
Sophie Woodward
Jie Kate Hu
N. Khoshnevis
Francesca Dominici
CML
427
6
0
01 Dec 2023
Exploring Causal Learning through Graph Neural Networks: An In-depth Review
Simi Job
Xiaohui Tao
Taotao Cai
Haoran Xie
Lin Li
Jianming Yong
Qing Li
CML
AI4CE
268
23
0
25 Nov 2023
Estimating Treatment Effects Under Heterogeneous Interference
Xiaofeng Lin
Guoxi Zhang
Xiaotian Lu
Han Bao
Koh Takeuchi
Hisashi Kashima
CML
313
7
0
25 Sep 2023
Generalization bound for estimating causal effects from observational network data
International Conference on Information and Knowledge Management (CIKM), 2023
Ruichu Cai
Zeqin Yang
Weilin Chen
Yuguang Yan
Zijian Li
CML
245
12
0
08 Aug 2023
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection
Knowledge Discovery and Data Mining (KDD), 2023
Jing Ma
Chen Chen
A. Vullikanti
Ritwick Mishra
Gregory R. Madden
Daniel Borrajo
Jundong Li
CML
248
9
0
17 Jul 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Knowledge Discovery and Data Mining (KDD), 2023
Song Jiang
Zijie Huang
Xiao Luo
Luke Huan
CML
270
25
0
20 Jun 2023
Learning Individual Treatment Effects under Heterogeneous Interference in Networks
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Ziyu Zhao
Yuqi Bai
Kun Kuang
Ruoxuan Xiong
Leilei Gan
CML
251
17
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
445
6
0
20 Oct 2022
Learning Causal Effects on Hypergraphs
Knowledge Discovery and Data Mining (KDD), 2022
Jing Ma
Mengting Wan
Longqi Yang
Jundong Li
Brent J. Hecht
J. Teevan
CML
216
68
0
07 Jul 2022
Evaluation Methods and Measures for Causal Learning Algorithms
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Lu Cheng
Ruocheng Guo
Raha Moraffah
Paras Sheth
K. S. Candan
Huan Liu
CML
ELM
361
76
0
07 Feb 2022
1
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