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@article{DBLP:journals/csda/ZhouGZ24, author = {Niwen Zhou and Xu Guo and Lixing Zhu}, title = {Significance test for semiparametric conditional average treatment effects and other structural functions}, journal = {Comput. Stat. Data Anal.}, volume = {189}, pages = {107839}, year = {2024} }
@article{DBLP:journals/sac/RuhlF24, author = {Jasmin R{\"{u}}hl and Sarah Friedrich}, title = {Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks}, journal = {Stat. Comput.}, volume = {34}, number = {3}, pages = {101}, year = {2024} }
@article{DBLP:journals/corr/abs-2402-02672, author = {Yuji Kawamata and Ryoki Motai and Yukihiko Okada and Akira Imakura and Tetsuya Sakurai}, title = {Estimation of conditional average treatment effects on distributed data: {A} privacy-preserving approach}, journal = {CoRR}, volume = {abs/2402.02672}, year = {2024} }
@article{DBLP:journals/corr/abs-2402-12400, author = {Shinpei Nakamura{-}Sakai and Laura Forastiere and Brian Macdonald}, title = {Estimating the age-conditioned average treatment effects curves: An application for assessing load-management strategies in the {NBA}}, journal = {CoRR}, volume = {abs/2402.12400}, year = {2024} }
@article{DBLP:journals/corr/abs-2403-03240, author = {Masahiro Kato}, title = {Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects}, journal = {CoRR}, volume = {abs/2403.03240}, year = {2024} }
@article{DBLP:journals/algorithms/GalatroTNCJJBA23, author = {Daniela Galatro and Rosario Trigo{-}Ferre and Allana Nakashook{-}Zettler and Vincenzo Costanzo{-}{\'{A}}lvarez and Melanie Jeffrey and Maria Jacome and Jason Bazylak and Cristina H. Amon}, title = {Framework for Evaluating Potential Causes of Health Risk Factors Using Average Treatment Effect and Uplift Modelling}, journal = {Algorithms}, volume = {16}, number = {3}, pages = {166}, year = {2023} }
@article{DBLP:journals/cmpb/VakulenkoLagunMCZAD23, author = {Bella Vakulenko{-}Lagun and Colin G. Magdamo and Marie{-}Laure Charpignon and Bang Zheng and Mark W. Albers and Sudeshna Das}, title = {causalCmprsk: An {R} package for nonparametric and Cox-based estimation of average treatment effects in competing risks data}, journal = {Comput. Methods Programs Biomed.}, volume = {242}, pages = {107819}, year = {2023} }
@article{DBLP:journals/cssc/Takahashi23, author = {Masayoshi Takahashi}, title = {Multiple imputation regression discontinuity designs: Alternative to regression discontinuity designs to estimate the local average treatment effect at the cutoff}, journal = {Commun. Stat. Simul. Comput.}, volume = {52}, number = {9}, pages = {4293--4312}, year = {2023} }
@article{DBLP:journals/datamine/ZiyuKLCWXW23, author = {Zhao Ziyu and Kun Kuang and Bo Li and Peng Cui and Runze Wu and Jun Xiao and Fei Wu}, title = {Differentiated matching for individual and average treatment effect estimation}, journal = {Data Min. Knowl. Discov.}, volume = {37}, number = {1}, pages = {205--227}, year = {2023} }
@article{DBLP:journals/jossw/Wolf23, author = {Jack M. Wolf}, title = {tehtuner: An {R} package to fit and tune models for the conditional average treatment effect}, journal = {J. Open Source Softw.}, volume = {8}, number = {87}, pages = {5453}, year = {2023} }
@article{DBLP:journals/tmlr/VowelsACB23, author = {Matthew James Vowels and Sina Akbari and Necati Cihan Camg{\"{o}}z and Richard Bowden}, title = {A Free Lunch with Influence Functions? An Empirical Evaluation of Influence Functions for Average Treatment Effect Estimation}, journal = {Trans. Mach. Learn. Res.}, volume = {2023}, year = {2023} }
@inproceedings{DBLP:conf/aistats/KuzmanovicHF23, author = {Milan Kuzmanovic and Tobias Hatt and Stefan Feuerriegel}, title = {Estimating Conditional Average Treatment Effects with Missing Treatment Information}, booktitle = {{AISTATS}}, series = {Proceedings of Machine Learning Research}, volume = {206}, pages = {746--766}, publisher = {{PMLR}}, year = {2023} }
@inproceedings{DBLP:conf/icml/Sverdrup023, author = {Erik Sverdrup and Yifan Cui}, title = {Proximal Causal Learning of Conditional Average Treatment Effects}, booktitle = {{ICML}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {33285--33298}, publisher = {{PMLR}}, year = {2023} }
@inproceedings{DBLP:conf/nips/HanSZ23, author = {Larry Han and Zhu Shen and Jos{\'{e}} R. Zubizarreta}, title = {Multiply Robust Federated Estimation of Targeted Average Treatment Effects}, booktitle = {NeurIPS}, year = {2023} }
@article{DBLP:journals/corr/abs-2309-12600, author = {Larry Han and Zhu Shen and Jos{\'{e}} R. Zubizarreta}, title = {Multiply Robust Federated Estimation of Targeted Average Treatment Effects}, journal = {CoRR}, volume = {abs/2309.12600}, year = {2023} }
@article{DBLP:journals/corr/abs-2310-16819, author = {Masahiro Kato and Masaaki Imaizumi}, title = {{CATE} Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression}, journal = {CoRR}, volume = {abs/2310.16819}, year = {2023} }
@article{DBLP:journals/jmlr/SunCT22, author = {Baoluo Sun and Yifan Cui and Eric Tchetgen Tchetgen}, title = {Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable}, journal = {J. Mach. Learn. Res.}, volume = {23}, pages = {204:1--204:40}, year = {2022} }
@inproceedings{DBLP:conf/aaai/ShinodaH22, author = {Kazuhiko Shinoda and Takahiro Hoshino}, title = {Estimation of Local Average Treatment Effect by Data Combination}, booktitle = {{AAAI}}, pages = {8295--8303}, publisher = {{AAAI} Press}, year = {2022} }
@inproceedings{DBLP:conf/ijcnn/HuangLWYMYWH22, author = {Yiyan Huang and Cheuk Hang Leung and Qi Wu and Xing Yan and Shumin Ma and Zhiri Yuan and Dongdong Wang and Zhixiang Huang}, title = {Robust Causal Learning for the Estimation of Average Treatment Effects}, booktitle = {{IJCNN}}, pages = {1--9}, publisher = {{IEEE}}, year = {2022} }
@article{DBLP:journals/corr/abs-2202-05245, author = {Masahiro Kato and Masaaki Imaizumi}, title = {Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression}, journal = {CoRR}, volume = {abs/2202.05245}, year = {2022} }
@article{DBLP:journals/corr/abs-2203-01422, author = {Milan Kuzmanovic and Tobias Hatt and Stefan Feuerriegel}, title = {Estimating Conditional Average Treatment Effects with Missing Treatment Information}, journal = {CoRR}, volume = {abs/2203.01422}, year = {2022} }
@article{DBLP:journals/corr/abs-2205-14692, author = {Alexis Bellot and Anish Dhir and Giulia Prando}, title = {Generalization bounds and algorithms for estimating conditional average treatment effect of dosage}, journal = {CoRR}, volume = {abs/2205.14692}, year = {2022} }
@inproceedings{DBLP:conf/cikm/HattF21, author = {Tobias Hatt and Stefan Feuerriegel}, title = {Estimating Average Treatment Effects via Orthogonal Regularization}, booktitle = {{CIKM}}, pages = {680--689}, publisher = {{ACM}}, year = {2021} }
@article{DBLP:journals/corr/abs-2101-08490, author = {Tobias Hatt and Stefan Feuerriegel}, title = {Estimating Average Treatment Effects via Orthogonal Regularization}, journal = {CoRR}, volume = {abs/2101.08490}, year = {2021} }
@article{DBLP:journals/corr/abs-2108-04939, author = {Brian G. Vegetabile}, title = {On the Distinction Between "Conditional Average Treatment Effects" {(CATE)} and "Individual Treatment Effects" {(ITE)} Under Ignorability Assumptions}, journal = {CoRR}, volume = {abs/2108.04939}, year = {2021} }
@article{DBLP:journals/corr/abs-2109-05175, author = {Kazuhiko Shinoda and Takahiro Hoshino}, title = {Estimation of Local Average Treatment Effect by Data Combination}, journal = {CoRR}, volume = {abs/2109.05175}, year = {2021} }
@article{DBLP:journals/corr/abs-2109-06707, author = {Adam Izdebski and Patrick J. Thoral and Robbert C. A. Lalisang and Dean M. McHugh and Robert Entjes and Nardo J. M. van der Meer and Dave A. Dongelmans and Age D. Boelens and Sander Rigter and Stefaan H. A. Hendriks and Remko de Jong and Marlijn J. A. Kamps and Marco A. A. Peters and A. Karakus and Diederik Gommers and Dharmanand Ramnarain and Evert{-}Jan Wils and Sefanja Achterberg and Ralph Nowitzky and Walter van den Tempel and Cornelis P. C. de Jager and Fleur G. C. A. Nooteboom and Evelien Oostdijk and Peter Koetsier and Alexander D. Cornet and Auke C. Reidinga and Wouter de Ruijter and Rob J. Bosman and Tim Frenzel and Louise C. Urlings{-}Strop and Paul de Jong and Ellen G. M. Smit and Olaf L. Cremer and Frits H. M. van Osch and Harald J. Faber and Judith Lens and Gert B. Brunnekreef and Barbara Festen{-}Spanjer and Tom Dormans and Bram Simons and A. A. Rijkeboer and Annemieke Dijkstra and M. Sesmu Arbous and Marcel Aries and Menno Beukema and Rutger van Raalte and Martijn van Tellingen and Niels C. Gritters van den Oever and Paul W. G. Elbers and Giovanni Cin{\`{a}}}, title = {A pragmatic approach to estimating average treatment effects from {EHR} data: the effect of prone positioning on mechanically ventilated {COVID-19} patients}, journal = {CoRR}, volume = {abs/2109.06707}, year = {2021} }
@article{DBLP:journals/corr/abs-2112-01574, author = {Xinze Du and Yingying Fan and Jinchi Lv and Tianshu Sun and Patrick Vossler}, title = {Dimension-Free Average Treatment Effect Inference with Deep Neural Networks}, journal = {CoRR}, volume = {abs/2112.01574}, year = {2021} }
@article{DBLP:journals/jmlr/RotnitzkyS20, author = {Andrea Rotnitzky and Ezequiel Smucler}, title = {Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models}, journal = {J. Mach. Learn. Res.}, volume = {21}, pages = {188:1--188:86}, year = {2020} }
@article{DBLP:journals/rjour/ShuY19, author = {Di Shu and Grace Y. Yi}, title = {ipwErrorY: An {R} Package for Estimation of Average Treatment Effect with Misclassified Binary Outcome}, journal = {R J.}, volume = {11}, number = {1}, pages = {337}, year = {2019} }
@inproceedings{DBLP:conf/cbms/GhanemA19, author = {Angi Nazih Ghanem and {\"{O}}zden G{\"{u}}r Ali}, title = {Evaluating Average and Heterogeneous Treatment Effects In Light of Domain Knowledge: Impact of Behaviors on Disease Prevalence}, booktitle = {{CBMS}}, pages = {423--428}, publisher = {{IEEE}}, year = {2019} }
@inproceedings{DBLP:conf/nips/RayS19, author = {Kolyan Ray and Botond Szab{\'{o}}}, title = {Debiased Bayesian inference for average treatment effects}, booktitle = {NeurIPS}, pages = {11929--11939}, year = {2019} }
@article{DBLP:journals/corr/abs-1909-12078, author = {Kolyan Ray and Botond Szab{\'{o}}}, title = {Debiased Bayesian inference for average treatment effects}, journal = {CoRR}, volume = {abs/1909.12078}, year = {2019} }
@article{DBLP:journals/corr/abs-1912-00306, author = {Andrea Rotnitzky and Ezequiel Smucler}, title = {Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models}, journal = {CoRR}, volume = {abs/1912.00306}, year = {2019} }
@article{DBLP:journals/corr/abs-1912-06977, author = {Steve Yadlowsky and Fabio Pellegrini and Federica Lionetto and Stefan Braune and Lu Tian}, title = {Estimation and Validation of a Class of Conditional Average Treatment Effects Using Observational Data}, journal = {CoRR}, volume = {abs/1912.06977}, year = {2019} }
@incollection{DBLP:books/crc/p/Lendle16, author = {Sam Lendle}, title = {Online Estimation of the Average Treatment Effect}, booktitle = {Handbook of Big Data}, pages = {429--438}, publisher = {Chapman and Hall/CRC}, year = {2016} }
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