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Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple
  Imbalanced Treatment Effects

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects

13 August 2022
Guanglin Zhou
Lina Yao
Xiwei Xu
Chen Wang
Liming Zhu
    OOD
    CML
    BDL
ArXivPDFHTML

Papers citing "Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects"

4 / 4 papers shown
Title
Causal Inference with Complex Treatments: A Survey
Causal Inference with Complex Treatments: A Survey
Yingrong Wang
Haoxuan Li
Minqin Zhu
Anpeng Wu
Ruoxuan Xiong
Fei Wu
Kun Kuang
CML
48
1
0
19 Jul 2024
BENK: The Beran Estimator with Neural Kernels for Estimating the
  Heterogeneous Treatment Effect
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect
Stanislav R. Kirpichenko
Lev V. Utkin
A. Konstantinov
CML
24
0
0
19 Nov 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
232
719
0
12 May 2016
1