Peruzzi, Michele; Dunson, David B. Spatial multivariate trees for big data Bayesian regression. (English) Zbl 07625170 J. Mach. Learn. Res. 23, Paper No. 17, 40 p. (2022). MSC: 68T05 PDFBibTeX XMLCite \textit{M. Peruzzi} and \textit{D. B. Dunson}, J. Mach. Learn. Res. 23, Paper No. 17, 40 p. (2022; Zbl 07625170) 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
Gu, Jiaying; Zhou, Qing Learning big Gaussian Bayesian networks: partition, estimation and fusion. (English) Zbl 07307465 J. Mach. Learn. Res. 21, Paper No. 158, 31 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{J. Gu} and \textit{Q. Zhou}, J. Mach. Learn. Res. 21, Paper No. 158, 31 p. (2020; Zbl 07307465) Full Text: arXiv Link
Park, Gunwoong Identifiability of additive noise models using conditional variances. (English) Zbl 1498.68256 J. Mach. Learn. Res. 21, Paper No. 75, 34 p. (2020). MSC: 68T05 62D20 62H12 62H22 PDFBibTeX XMLCite \textit{G. Park}, J. Mach. Learn. Res. 21, Paper No. 75, 34 p. (2020; Zbl 1498.68256) Full Text: Link
Lee, Kuang-Yao; Liu, Tianqi; Li, Bing; Zhao, Hongyu Learning causal networks via additive faithfulness. (English) Zbl 1475.68279 J. Mach. Learn. Res. 21, Paper No. 51, 38 p. (2020). Reviewer: Martin Holeňa (Praha) MSC: 68T05 46E22 62D20 62G05 62H22 PDFBibTeX XMLCite \textit{K.-Y. Lee} et al., J. Mach. Learn. Res. 21, Paper No. 51, 38 p. (2020; Zbl 1475.68279) Full Text: Link
Sondhi, Arjun; Shojaie, Ali The reduced PC-algorithm: improved causal structure learning in large random networks. (English) Zbl 1446.62256 J. Mach. Learn. Res. 20, Paper No. 164, 31 p. (2019). MSC: 62M40 62H22 60G60 05C90 62-08 62P10 PDFBibTeX XMLCite \textit{A. Sondhi} and \textit{A. Shojaie}, J. Mach. Learn. Res. 20, Paper No. 164, 31 p. (2019; Zbl 1446.62256) Full Text: arXiv Link
Park, Gunwoong; Park, Sion High-dimensional Poisson structural equation model learning via \(\ell_1\)-regularized regression. (English) Zbl 1434.68445 J. Mach. Learn. Res. 20, Paper No. 95, 41 p. (2019). MSC: 68T05 62F07 62H12 PDFBibTeX XMLCite \textit{G. Park} and \textit{S. Park}, J. Mach. Learn. Res. 20, Paper No. 95, 41 p. (2019; Zbl 1434.68445) Full Text: arXiv Link
Park, Gunwoong; Raskutti, Garvesh Learning quadratic variance function (QVF) DAG models via overdispersion scoring (ODS). (English) Zbl 1470.68156 J. Mach. Learn. Res. 18(2017-2018), Paper No. 224, 44 p. (2018). MSC: 68T05 62H22 PDFBibTeX XMLCite \textit{G. Park} and \textit{G. Raskutti}, J. Mach. Learn. Res. 18, Paper No. 224, 44 p. (2018; Zbl 1470.68156) Full Text: arXiv Link
Sadeghi, Kayvan Faithfulness of probability distributions and graphs. (English) Zbl 1444.62079 J. Mach. Learn. Res. 18(2017-2018), Paper No. 148, 29 p. (2017). MSC: 62H22 68T05 PDFBibTeX XMLCite \textit{K. Sadeghi}, J. Mach. Learn. Res. 18, Paper No. 148, 29 p. (2017; Zbl 1444.62079) Full Text: arXiv Link
Su, Chengwei; Borsuk, Mark E. Improving structure MCMC for Bayesian networks through Markov blanket resampling. (English) Zbl 1367.68238 J. Mach. Learn. Res. 17, Paper No. 118, 20 p. (2016). MSC: 68T05 60J22 62H99 PDFBibTeX XMLCite \textit{C. Su} and \textit{M. E. Borsuk}, J. Mach. Learn. Res. 17, Paper No. 118, 20 p. (2016; Zbl 1367.68238) Full Text: Link
He, Yangbo; Jia, Jinzhu; Yu, Bin Counting and exploring sizes of Markov equivalence classes of directed acyclic graphs. (English) Zbl 1351.68211 J. Mach. Learn. Res. 16, 2589-2609 (2015). MSC: 68T05 05C20 05C90 PDFBibTeX XMLCite \textit{Y. He} et al., J. Mach. Learn. Res. 16, 2589--2609 (2015; Zbl 1351.68211) Full Text: Link
Colombo, Diego; Maathuis, Marloes H. Order-independent constraint-based causal structure learning. (English) Zbl 1312.68165 J. Mach. Learn. Res. 15, 3921-3962 (2014). MSC: 68T05 62-04 62H99 68R10 92D10 PDFBibTeX XMLCite \textit{D. Colombo} and \textit{M. H. Maathuis}, J. Mach. Learn. Res. 15, 3921--3962 (2014; Zbl 1312.68165) Full Text: arXiv Link
Ramsahai, Roland R. Causal bounds and observable constraints for non-deterministic models. (English) Zbl 1283.68299 J. Mach. Learn. Res. 13, 829-848 (2012). MSC: 68T05 68U05 62H17 PDFBibTeX XMLCite \textit{R. R. Ramsahai}, J. Mach. Learn. Res. 13, 829--848 (2012; Zbl 1283.68299) Full Text: Link
He, Yang-Bo; Geng, Zhi Active learning of causal networks with intervention experiments and optimal designs. (English) Zbl 1225.68184 J. Mach. Learn. Res. 9, 2523-2547 (2008). MSC: 68T05 68R10 62H30 PDFBibTeX XMLCite \textit{Y.-B. He} and \textit{Z. Geng}, J. Mach. Learn. Res. 9, 2523--2547 (2008; Zbl 1225.68184) Full Text: Link
Xie, Xianchao; Geng, Zhi A recursive method for structural learning of directed acyclic graphs. (English) Zbl 1225.68222 J. Mach. Learn. Res. 9, 459-483 (2008). MSC: 68T05 68Q32 68R10 PDFBibTeX XMLCite \textit{X. Xie} and \textit{Z. Geng}, J. Mach. Learn. Res. 9, 459--483 (2008; Zbl 1225.68222) Full Text: Link
Shimizu, Shohei; Hoyer, Patrik O.; Hyvärinen, Aapo; Kerminen, Antti A linear non-Gaussian acyclic model for causal discovery. (English) Zbl 1222.68304 J. Mach. Learn. Res. 7, 2003-2030 (2006). MSC: 68T05 62H25 PDFBibTeX XMLCite \textit{S. Shimizu} et al., J. Mach. Learn. Res. 7, 2003--2030 (2006; Zbl 1222.68304) Full Text: Link