% Verified bibliography for UQO WP28 (literature/PRIOR_ART_MATRIX.csv records how each entry was checked).
@article{zhang2013communication,
  author  = {Zhang, Yuchen and Duchi, John C. and Wainwright, Martin J.},
  title   = {Communication-Efficient Algorithms for Statistical Optimization},
  journal = {Journal of Machine Learning Research},
  year    = {2013}, volume = {14}, pages = {3321--3363},
  url     = {https://www.jmlr.org/papers/v14/zhang13b.html}
}
@article{huang2019distributed,
  author  = {Huang, Cheng and Huo, Xiaoming},
  title   = {A Distributed One-Step Estimator},
  journal = {Mathematical Programming},
  year    = {2019}, volume = {174}, number = {1--2}, pages = {41--76},
  doi     = {10.1007/s10107-019-01369-0}
}
@article{dhaene2015split,
  author  = {Dhaene, Geert and Jochmans, Koen},
  title   = {Split-Panel Jackknife Estimation of Fixed-Effect Models},
  journal = {Review of Economic Studies},
  year    = {2015}, volume = {82}, number = {3}, pages = {991--1030},
  doi     = {10.1093/restud/rdv007}
}
@article{jordan2019communication,
  author  = {Jordan, Michael I. and Lee, Jason D. and Yang, Yun},
  title   = {Communication-Efficient Distributed Statistical Inference},
  journal = {Journal of the American Statistical Association},
  year    = {2019}, volume = {114}, number = {526}, pages = {668--681},
  doi     = {10.1080/01621459.2018.1429274}
}
@article{fan2023communication,
  author  = {Fan, Jianqing and Guo, Yongyi and Wang, Kaizheng},
  title   = {Communication-Efficient Accurate Statistical Estimation},
  journal = {Journal of the American Statistical Association},
  year    = {2023}, volume = {118}, number = {542}, pages = {1000--1010},
  doi     = {10.1080/01621459.2021.1969238}
}
@article{rosenblatt2016optimality,
  author  = {Rosenblatt, Jonathan D. and Nadler, Boaz},
  title   = {On the Optimality of Averaging in Distributed Statistical Learning},
  journal = {Information and Inference: A Journal of the IMA},
  year    = {2016}, volume = {5}, number = {4}, pages = {379--404},
  doi     = {10.1093/imaiai/iaw013}
}
@article{lin2011aggregated,
  author  = {Lin, Nan and Xi, Ruibin},
  title   = {Aggregated Estimating Equation Estimation},
  journal = {Statistics and Its Interface},
  year    = {2011}, volume = {4}, number = {1}, pages = {73--83},
  doi     = {10.4310/SII.2011.v4.n1.a8}
}
@article{battey2018distributed,
  author  = {Battey, Heather and Fan, Jianqing and Liu, Han and Lu, Junwei and Zhu, Ziwei},
  title   = {Distributed Testing and Estimation under Sparse High Dimensional Models},
  journal = {Annals of Statistics},
  year    = {2018}, volume = {46}, number = {3}, pages = {1352--1382},
  doi     = {10.1214/17-AOS1587}
}
@article{volgushev2019distributed,
  author  = {Volgushev, Stanislav and Chao, Shih-Kang and Cheng, Guang},
  title   = {Distributed Inference for Quantile Regression Processes},
  journal = {Annals of Statistics},
  year    = {2019}, volume = {47}, number = {3}, pages = {1634--1662},
  doi     = {10.1214/18-AOS1730}
}
@article{shang2017computational,
  author  = {Shang, Zuofeng and Cheng, Guang},
  title   = {Computational Limits of a Distributed Algorithm for Smoothing Spline},
  journal = {Journal of Machine Learning Research},
  year    = {2017}, volume = {18}, number = {108}, pages = {1--37},
  url     = {https://jmlr.org/papers/v18/16-289.html}
}
@inproceedings{shamir2014communication,
  author    = {Shamir, Ohad and Srebro, Nathan and Zhang, Tong},
  title     = {Communication-Efficient Distributed Optimization Using an Approximate {N}ewton-Type Method},
  booktitle = {Proceedings of the 31st International Conference on Machine Learning},
  series    = {Proceedings of Machine Learning Research}, volume = {32}, number = {2}, pages = {1000--1008},
  year      = {2014}, publisher = {PMLR}
}
@inproceedings{wang2017efficient,
  author    = {Wang, Jialei and Kolar, Mladen and Srebro, Nathan and Zhang, Tong},
  title     = {Efficient Distributed Learning with Sparsity},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning},
  series    = {Proceedings of Machine Learning Research}, volume = {70}, pages = {3636--3645},
  year      = {2017}, publisher = {PMLR}
}
@article{chen2022first,
  author  = {Chen, Xi and Liu, Weidong and Zhang, Yichen},
  title   = {First-Order {N}ewton-Type Estimator for Distributed Estimation and Inference},
  journal = {Journal of the American Statistical Association},
  year    = {2022}, volume = {117}, number = {540}, pages = {1858--1874},
  doi     = {10.1080/01621459.2021.1891925}
}
@article{zhu2021least,
  author  = {Zhu, Xuening and Li, Feng and Wang, Hansheng},
  title   = {Least-Square Approximation for a Distributed System},
  journal = {Journal of Computational and Graphical Statistics},
  year    = {2021}, volume = {30}, number = {4}, pages = {1004--1018},
  doi     = {10.1080/10618600.2021.1923517}
}
@article{gu2023heterogeneity,
  author  = {Gu, Jia and Chen, Songxi},
  title   = {Distributed Statistical Inference under Heterogeneity},
  journal = {Journal of Machine Learning Research},
  year    = {2023}, volume = {24}, number = {387}, pages = {1--56},
  url     = {https://jmlr.org/papers/v24/22-1274.html}
}
@article{wu2023subsampling,
  author  = {Wu, Shuyuan and Zhu, Xuening and Wang, Hansheng},
  title   = {Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis with Limited Computational Resources},
  journal = {Statistica Sinica},
  year    = {2023}, volume = {33}, pages = {2041--2064},
  doi     = {10.5705/ss.202021.0257}
}
@unpublished{yin2022newton,
  author = {Yin, Zhuoran},
  title  = {Communication-Efficient Distributed {N}ewton-Like Optimization with Gradients and {M}-Estimators},
  note   = {arXiv:2207.06253},
  year   = {2022}
}
@article{gao2022review,
  author  = {Gao, Yuan and Liu, Weidong and Wang, Hansheng and Wang, Xiaozhou and Yan, Yibo and Zhang, Riquan},
  title   = {A Review of Distributed Statistical Inference},
  journal = {Statistical Theory and Related Fields},
  year    = {2022}, volume = {6}, number = {2}, pages = {89--99},
  doi     = {10.1080/24754269.2021.1974158}
}
@unpublished{li2024selective,
  author = {Li, Xuetong and Gao, Yuan and Chang, Hong and Huang, Danyang and Ma, Yingying and Pan, Rui and Qi, Haobo and Wang, Feifei and Wu, Shuyuan and Xu, Ke and Zhou, Jing and Zhu, Xuening and Zhu, Yingqiu and Wang, Hansheng},
  title  = {A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques},
  note   = {arXiv:2403.11163},
  year   = {2024}
}
@article{hahn2024efficient,
  author  = {Hahn, Jinyong and Hughes, David W. and Kuersteiner, Guido and Newey, Whitney K.},
  title   = {Efficient Bias Correction for Cross-Section and Panel Data},
  journal = {Quantitative Economics},
  year    = {2024}, volume = {15}, number = {3}, pages = {783--816},
  doi     = {10.3982/QE2350}
}
@article{quenouille1949approximate,
  author  = {Quenouille, M. H.},
  title   = {Approximate Tests of Correlation in Time-Series},
  journal = {Journal of the Royal Statistical Society: Series B},
  year    = {1949}, volume = {11}, number = {1}, pages = {68--84},
  doi     = {10.1111/j.2517-6161.1949.tb00023.x}
}
@article{quenouille1956notes,
  author  = {Quenouille, M. H.},
  title   = {Notes on Bias in Estimation},
  journal = {Biometrika},
  year    = {1956}, volume = {43}, number = {3/4}, pages = {353--360},
  doi     = {10.1093/biomet/43.3-4.353}
}
@article{schucany1971bias,
  author  = {Schucany, W. R. and Gray, H. L. and Owen, D. B.},
  title   = {On Bias Reduction in Estimation},
  journal = {Journal of the American Statistical Association},
  year    = {1971}, volume = {66}, number = {335}, pages = {524--533},
  doi     = {10.1080/01621459.1971.10482296}
}
@book{efron1982jackknife,
  author    = {Efron, Bradley},
  title     = {The Jackknife, the Bootstrap and Other Resampling Plans},
  publisher = {SIAM}, address = {Philadelphia}, year = {1982},
  series    = {CBMS-NSF Regional Conference Series in Applied Mathematics}, number = {38},
  doi       = {10.1137/1.9781611970319}
}
@article{cox1968general,
  author  = {Cox, D. R. and Snell, E. J.},
  title   = {A General Definition of Residuals},
  journal = {Journal of the Royal Statistical Society: Series B},
  year    = {1968}, volume = {30}, number = {2}, pages = {248--275},
  doi     = {10.1111/j.2517-6161.1968.tb00724.x}
}
@article{cordeiro1991bias,
  author  = {Cordeiro, Gauss M. and McCullagh, Peter},
  title   = {Bias Correction in Generalized Linear Models},
  journal = {Journal of the Royal Statistical Society: Series B},
  year    = {1991}, volume = {53}, number = {3}, pages = {629--643},
  doi     = {10.1111/j.2517-6161.1991.tb01852.x}
}
@article{firth1993bias,
  author  = {Firth, David},
  title   = {Bias Reduction of Maximum Likelihood Estimates},
  journal = {Biometrika},
  year    = {1993}, volume = {80}, number = {1}, pages = {27--38},
  doi     = {10.1093/biomet/80.1.27}
}
@article{rilstone1996second,
  author  = {Rilstone, Paul and Srivastava, V. K. and Ullah, Aman},
  title   = {The Second-Order Bias and Mean Squared Error of Nonlinear Estimators},
  journal = {Journal of Econometrics},
  year    = {1996}, volume = {75}, number = {2}, pages = {369--395},
  doi     = {10.1016/0304-4076(96)89457-7}
}
@article{hahn2004jackknife,
  author  = {Hahn, Jinyong and Newey, Whitney},
  title   = {Jackknife and Analytical Bias Reduction for Nonlinear Panel Models},
  journal = {Econometrica},
  year    = {2004}, volume = {72}, number = {4}, pages = {1295--1319},
  doi     = {10.1111/j.1468-0262.2004.00533.x}
}
@incollection{lecam1956asymptotic,
  author    = {Le Cam, Lucien},
  title     = {On the Asymptotic Theory of Estimation and Testing Hypotheses},
  booktitle = {Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability},
  volume    = {1}, pages = {129--156}, year = {1956},
  publisher = {University of California Press}, address = {Berkeley}
}
@article{bickel1975one,
  author  = {Bickel, P. J.},
  title   = {One-Step {H}uber Estimates in the Linear Model},
  journal = {Journal of the American Statistical Association},
  year    = {1975}, volume = {70}, number = {350}, pages = {428--434},
  doi     = {10.1080/01621459.1975.10479884}
}
@book{vandervaart1998asymptotic,
  author    = {van der Vaart, A. W.},
  title     = {Asymptotic Statistics},
  publisher = {Cambridge University Press}, address = {Cambridge}, year = {1998},
  doi       = {10.1017/CBO9780511802256}
}
@article{bhattacharya1978validity,
  author  = {Bhattacharya, R. N. and Ghosh, J. K.},
  title   = {On the Validity of the Formal {E}dgeworth Expansion},
  journal = {Annals of Statistics},
  year    = {1978}, volume = {6}, number = {2}, pages = {434--451},
  doi     = {10.1214/aos/1176344134}
}
@article{duan2022heterogeneity,
  author  = {Duan, Rui and Ning, Yang and Chen, Yong},
  title   = {Heterogeneity-Aware and Communication-Efficient Distributed Statistical Inference},
  journal = {Biometrika},
  year    = {2022}, volume = {109}, number = {1}, pages = {67--83},
  doi     = {10.1093/biomet/asab007}
}
@article{szabo2020adaptive,
  author  = {Szab{\'o}, Botond and van Zanten, Harry},
  title   = {Adaptive Distributed Methods under Communication Constraints},
  journal = {Annals of Statistics},
  year    = {2020}, volume = {48}, number = {4}, pages = {2347--2380},
  doi     = {10.1214/19-AOS1890}
}
@article{cai2022distributed,
  author  = {Cai, T. Tony and Wei, Hongji},
  title   = {Distributed {G}aussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms},
  journal = {Annals of Statistics},
  year    = {2022}, volume = {50}, number = {4}, pages = {1992--2020},
  doi     = {10.1214/21-AOS2167}
}
@unpublished{duchi2014optimality,
  author = {Duchi, John C. and Jordan, Michael I. and Wainwright, Martin J. and Zhang, Yuchen},
  title  = {Optimality Guarantees for Distributed Statistical Estimation},
  note   = {arXiv:1405.0782},
  year   = {2014}
}
@inproceedings{alimisis2021communication,
  author    = {Alimisis, Foivos and Davies, Peter and Alistarh, Dan},
  title     = {Communication-Efficient Distributed Optimization with Quantized Preconditioners},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning},
  series    = {Proceedings of Machine Learning Research}, volume = {139}, year = {2021}, publisher = {PMLR},
  note      = {arXiv:2102.07214}
}