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. 1912.09040
  4. Cited By
Reducing Selection Bias in Counterfactual Reasoning for Individual
  Treatment Effects Estimation

Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation

19 December 2019
Zichen Zhang
Qingfeng Lan
Lei Ding
Yue Wang
Negar Hassanpour
Russell Greiner
    BDLCML
ArXiv (abs)PDFHTML

Papers citing "Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation"

5 / 5 papers shown
Title
Deep Causal Learning for Robotic Intelligence
Deep Causal Learning for Robotic Intelligence
Yongqian Li
CML
73
5
0
23 Dec 2022
Deep Causal Learning: Representation, Discovery and Inference
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng
Xiaolong Zheng
Hu Tian
D. Zeng
CMLBDL
119
11
0
07 Nov 2022
A Survey of Deep Causal Models and Their Industrial Applications
A Survey of Deep Causal Models and Their Industrial Applications
Zongyu Li
Xiaoning Guo
Siwei Qiang
CMLAI4CE
76
8
0
19 Sep 2022
Targeted VAE: Variational and Targeted Learning for Causal Inference
Targeted VAE: Variational and Targeted Learning for Causal Inference
M. Vowels
Necati Cihan Camgöz
Richard Bowden
BDLOODCML
47
8
0
28 Sep 2020
Hi-CI: Deep Causal Inference in High Dimensions
Hi-CI: Deep Causal Inference in High Dimensions
Ankit Sharma
Garima Gupta
Ranjitha Prasad
Arnab Chatterjee
Lovekesh Vig
Gautam M. Shroff
BDLCML
61
4
0
22 Aug 2020
1