ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.04011
  4. Cited By
Generalization bound for estimating causal effects from observational
  network data

Generalization bound for estimating causal effects from observational network data

8 August 2023
Ruichu Cai
Zeqin Yang
Weilin Chen
Yuguang Yan
Z. Hao
    CML
ArXivPDFHTML

Papers citing "Generalization bound for estimating causal effects from observational network data"

6 / 6 papers shown
Title
Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
Shishir Adhikari
Sourav Medya
Elena Zheleva
CML
39
0
0
03 Mar 2025
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption
Weilin Chen
Ruichu Cai
Jie Qiao
Yuguang Yan
José Miguel Hernández-Lobato
CML
66
0
0
27 Feb 2025
Optimizing Treatment Allocation in the Presence of Interference
Optimizing Treatment Allocation in the Presence of Interference
Daan Caljon
Jente Van Belle
Jeroen Berrevoets
Wouter Verbeke
20
0
0
30 Sep 2024
Estimating Peer Direct and Indirect Effects in Observational Network
  Data
Estimating Peer Direct and Indirect Effects in Observational Network Data
Xiaojing Du
Jiuyong Li
Debo Cheng
Lin Liu
Wentao Gao
Xiongren Chen
CML
23
4
0
21 Aug 2024
Doubly Robust Causal Effect Estimation under Networked Interference via
  Targeted Learning
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
Weilin Chen
Ruichu Cai
Zeqin Yang
Jie Qiao
Yuguang Yan
Zijian Li
Zhifeng Hao
CML
37
7
0
06 May 2024
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
223
719
0
12 May 2016
1