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Selecting Treatment Effects Models for Domain Adaptation Using Causal
  Knowledge

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge

11 February 2021
Trent Kyono
Ioana Bica
Zhaozhi Qian
Mihaela van der Schaar
    OODCML
ArXiv (abs)PDFHTML

Papers citing "Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge"

6 / 6 papers shown
Title
Causal Feature Selection for Responsible Machine Learning
Causal Feature Selection for Responsible Machine Learning
Raha Moraffah
Paras Sheth
Saketh Vishnubhatla
Huan Liu
CML
53
2
0
05 Feb 2024
Meta-learning for heterogeneous treatment effect estimation with
  closed-form solvers
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers
Tomoharu Iwata
Yoichi Chikahara
CMLFedML
77
0
0
19 May 2023
Causal Deep Learning
Causal Deep Learning
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
CMLAI4CE
60
25
0
03 Mar 2023
Robust Sample Weighting to Facilitate Individualized Treatment Rule
  Learning for a Target Population
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population
Rui Chen
J. Huling
Guanhua Chen
Menggang Yu
CML
42
1
0
03 May 2021
Automated versus do-it-yourself methods for causal inference: Lessons
  learned from a data analysis competition
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Vincent Dorie
J. Hill
Uri Shalit
M. Scott
D. Cervone
CML
261
288
0
09 Jul 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
296
4,684
0
17 Feb 2017
1