Bach, Philipp; Chernozhukov, Victor; Kurz, Malte S.; Spindler, Martin DoubleML – an object-oriented implementation of double machine learning in Python. (English) Zbl 07625206 J. Mach. Learn. Res. 23, Paper No. 53, 6 p. (2022). MSC: 68T05 PDFBibTeX XMLCite \textit{P. Bach} et al., J. Mach. Learn. Res. 23, Paper No. 53, 6 p. (2022; Zbl 07625206) Full Text: arXiv Link
Guo, Zijian; Rakshit, Prabrisha; Herman, Daniel S.; Chen, Jinbo Inference for the case probability in high-dimensional logistic regression. (English) Zbl 07626769 J. Mach. Learn. Res. 22, Paper No. 254, 54 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{Z. Guo} et al., J. Mach. Learn. Res. 22, Paper No. 254, 54 p. (2021; Zbl 07626769) Full Text: arXiv Link
Park, Gunwoong; Moon, Sang Jun; Park, Sion; Jeon, Jong-June Learning a high-dimensional linear structural equation model via \(\ell_1\)-regularized regression. (English) Zbl 07370619 J. Mach. Learn. Res. 22, Paper No. 102, 41 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{G. Park} et al., J. Mach. Learn. Res. 22, Paper No. 102, 41 p. (2021; Zbl 07370619) Full Text: Link
Liu, Lin; Mukherjee, Rajarshi; Robins, James M.; Tchetgen Tchetgen, Eric Adaptive estimation of nonparametric functionals. (English) Zbl 07370616 J. Mach. Learn. Res. 22, Paper No. 99, 66 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{L. Liu} et al., J. Mach. Learn. Res. 22, Paper No. 99, 66 p. (2021; Zbl 07370616) Full Text: arXiv Link
Eftekhari, Hamid; Banerjee, Moulinath; Ritov, Ya’acov Inference in high-dimensional single-index models under symmetric designs. (English) Zbl 07370544 J. Mach. Learn. Res. 22, Paper No. 27, 63 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{H. Eftekhari} et al., J. Mach. Learn. Res. 22, Paper No. 27, 63 p. (2021; Zbl 07370544) Full Text: arXiv Link
Hector, Emily C.; Song, Peter X.-K. Doubly distributed supervised learning and inference with high-dimensional correlated outcomes. (English) Zbl 07307470 J. Mach. Learn. Res. 21, Paper No. 173, 35 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{E. C. Hector} and \textit{P. X. K. Song}, J. Mach. Learn. Res. 21, Paper No. 173, 35 p. (2020; Zbl 07307470) Full Text: arXiv Link
Xu, Ganggang; Wang, Ming; Bian, Jiangze; Huang, Hui; Burch, Timothy R.; Andrade, Sandro C.; Zhang, Jingfei; Guan, Yongtao Semi-parametric learning of structured temporal point processes. (English) Zbl 1527.62027 J. Mach. Learn. Res. 21, Paper No. 192, 39 p. (2020). MSC: 62G05 60G55 62H25 PDFBibTeX XMLCite \textit{G. Xu} et al., J. Mach. Learn. Res. 21, Paper No. 192, 39 p. (2020; Zbl 1527.62027) Full Text: Link
Rotnitzky, Andrea; Smucler, Ezequiel Efficient adjustment sets for population average causal treatment effect estimation in graphical models. (English) Zbl 1527.62007 J. Mach. Learn. Res. 21, Paper No. 188, 86 p. (2020). MSC: 62D20 62G05 62H22 PDFBibTeX XMLCite \textit{A. Rotnitzky} and \textit{E. Smucler}, J. Mach. Learn. Res. 21, Paper No. 188, 86 p. (2020; Zbl 1527.62007) Full Text: arXiv Link
Kallus, Nathan; Uehara, Masatoshi Double reinforcement learning for efficient off-policy evaluation in Markov decision processes. (English) Zbl 1525.68113 J. Mach. Learn. Res. 21, Paper No. 167, 63 p. (2020). MSC: 68T05 90C40 90C90 PDFBibTeX XMLCite \textit{N. Kallus} and \textit{M. Uehara}, J. Mach. Learn. Res. 21, Paper No. 167, 63 p. (2020; Zbl 1525.68113) Full Text: arXiv Link
Frongillo, Rafael; Nobel, Andrew Memoryless sequences for general losses. (English) Zbl 1499.68155 J. Mach. Learn. Res. 21, Paper No. 80, 28 p. (2020). MSC: 68Q30 91B26 PDFBibTeX XMLCite \textit{R. Frongillo} and \textit{A. Nobel}, J. Mach. Learn. Res. 21, Paper No. 80, 28 p. (2020; Zbl 1499.68155) Full Text: Link
Zhao, Ying-Qi; Laber, Eric B.; Ning, Yang; Saha, Sumona; Sands, Bruce E. Efficient augmentation and relaxation learning for individualized treatment rules using observational data. (English) Zbl 1484.62130 J. Mach. Learn. Res. 20, Paper No. 48, 23 p. (2019). MSC: 62P10 62H30 62G05 PDFBibTeX XMLCite \textit{Y.-Q. Zhao} et al., J. Mach. Learn. Res. 20, Paper No. 48, 23 p. (2019; Zbl 1484.62130) Full Text: arXiv Link