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Unveiling the Potential of Robustness in Evaluating Causal Inference
  Models

Unveiling the Potential of Robustness in Evaluating Causal Inference Models

28 February 2024
Yiyan Huang
Cheuk Hang Leung
Siyi Wang
Yijun Li
Qi Wu
    OODCML
ArXiv (abs)PDFHTML

Papers citing "Unveiling the Potential of Robustness in Evaluating Causal Inference Models"

3 / 3 papers shown
Title
Orthogonal Representation Learning for Estimating Causal Quantities
Orthogonal Representation Learning for Estimating Causal Quantities
Valentyn Melnychuk
Dennis Frauen
Jonas Schweisthal
Stefan Feuerriegel
CMLOODBDL
386
5
0
06 Feb 2025
Sinkhorn Distributionally Robust Optimization
Sinkhorn Distributionally Robust OptimizationOperational Research (OR), 2021
Jie Wang
Rui Gao
Yao Xie
425
46
0
24 Sep 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
658
314
0
09 Jul 2017
1