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Multi-Source Causal Inference Using Control Variates

Multi-Source Causal Inference Using Control Variates

30 March 2021
Wenshuo Guo
S. Wang
Peng Ding
Yixin Wang
Michael I. Jordan
    CML
ArXivPDFHTML

Papers citing "Multi-Source Causal Inference Using Control Variates"

10 / 10 papers shown
Title
Constructing Confidence Intervals for Average Treatment Effects from
  Multiple Datasets
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
Yuxin Wang
Maresa Schröder
Dennis Frauen
J. Schweisthal
Konstantin Hess
Stefan Feuerriegel
CML
67
0
0
16 Dec 2024
Prediction-powered Generalization of Causal Inferences
Prediction-powered Generalization of Causal Inferences
Ilker Demirel
Ahmed M. Alaa
Anthony Philippakis
David Sontag
OOD
36
2
0
05 Jun 2024
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with
  Imperative Learning
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
Yifan Guo
Zhongqiang Ren
Chen Wang
14
3
0
01 May 2024
Multiply Robust Federated Estimation of Targeted Average Treatment
  Effects
Multiply Robust Federated Estimation of Targeted Average Treatment Effects
Larry Han
Zhu Shen
Jose Zubizarreta
FedML
22
14
0
22 Sep 2023
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
19
0
0
19 Nov 2022
Heterogeneous Treatment Effect with Trained Kernels of the
  Nadaraya-Watson Regression
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression
A. Konstantinov
Stanislav R. Kirpichenko
Lev V. Utkin
CML
22
3
0
19 Jul 2022
Causal Inference from Small High-dimensional Datasets
Causal Inference from Small High-dimensional Datasets
Raquel Y. S. Aoki
Martin Ester
CML
19
4
0
19 May 2022
Deep Causal Reasoning for Recommendations
Deep Causal Reasoning for Recommendations
Yaochen Zhu
Jing Yi
Jiayi Xie
Zhenzhong Chen
CML
BDL
24
10
0
06 Jan 2022
Optimal Ensemble Construction for Multi-Study Prediction with
  Applications to COVID-19 Excess Mortality Estimation
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation
Gabriel Loewinger
Rolando Acosta Nunez
Rahul Mazumder
Giovanni Parmigiani
30
0
0
19 Sep 2021
Predicting Counterfactuals from Large Historical Data and Small
  Randomized Trials
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials
Nir Rosenfeld
Yishay Mansour
E. Yom-Tov
CML
56
25
0
24 Oct 2016
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