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Multi-Source Causal Inference Using Control Variates
v1v2 (latest)

Multi-Source Causal Inference Using Control Variates

30 March 2021
Wenshuo Guo
S. Wang
Peng Ding
Yixin Wang
Michael I. Jordan
    CML
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
Data Fusion for High-Resolution Estimation
Data Fusion for High-Resolution Estimation
Amy Guan
Marissa Reitsma
Roshni Sahoo
Joshua Salomon
Stefan Wager
124
1
0
20 Aug 2025
Uncovering Bias Mechanisms in Observational Studies
Uncovering Bias Mechanisms in Observational Studies
Ilker Demirel
Zeshan Hussain
Piersilvio De Bartolomeis
D. Sontag
CML
258
0
0
01 Jun 2025
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
Constructing Confidence Intervals for Average Treatment Effects from Multiple DatasetsInternational Conference on Learning Representations (ICLR), 2024
Yuxin Wang
Maresa Schröder
Dennis Frauen
Jonas Schweisthal
Konstantin Hess
Stefan Feuerriegel
CML
603
6
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
354
17
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
302
7
0
01 May 2024
Multiply Robust Federated Estimation of Targeted Average Treatment
  Effects
Multiply Robust Federated Estimation of Targeted Average Treatment EffectsNeural Information Processing Systems (NeurIPS), 2023
Larry Han
Zhu Shen
Jose Zubizarreta
FedML
265
23
0
22 Sep 2023
Efficient and robust transfer learning of optimal individualized
  treatment regimes with right-censored survival data
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data
Pan Zhao
Julie Josse
Shu Yang
OffRL
289
6
0
13 Jan 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
344
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
270
6
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
195
4
0
19 May 2022
Deep Causal Reasoning for Recommendations
Deep Causal Reasoning for RecommendationsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Yaochen Zhu
Jing Yi
Jiayi Xie
Zhenzhong Chen
CMLBDL
283
17
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
207
0
0
19 Sep 2021
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