Liu, Han; Lafferty, John Nonparametric graphical models. (English) Zbl 1418.62120 Maathuis, Marloes (ed.) et al., Handbook of graphical models. Boca Raton, FL: CRC Press. Chapman Hall/CRC Handb. Mod. Stat. Methods, 309-324 (2019). MSC: 62G05 05C90 62H05 62J10 PDFBibTeX XMLCite \textit{H. Liu} and \textit{J. Lafferty}, in: Handbook of graphical models. Boca Raton, FL: CRC Press. 309--324 (2019; Zbl 1418.62120)
Chatterjee, Sabyasachi; Lafferty, John Adaptive risk bounds in unimodal regression. (English) Zbl 1441.62097 Bernoulli 25, No. 1, 1-25 (2019). MSC: 62G08 62G07 62G05 62G20 PDFBibTeX XMLCite \textit{S. Chatterjee} and \textit{J. Lafferty}, Bernoulli 25, No. 1, 1--25 (2019; Zbl 1441.62097) Full Text: DOI arXiv Euclid
Xu, Min; Chen, Minhua; Lafferty, John Faithful variable screening for high-dimensional convex regression. (English) Zbl 1360.62197 Ann. Stat. 44, No. 6, 2624-2660 (2016). MSC: 62G08 52A41 62J07 PDFBibTeX XMLCite \textit{M. Xu} et al., Ann. Stat. 44, No. 6, 2624--2660 (2016; Zbl 1360.62197) Full Text: DOI arXiv
Lafferty, John; Liu, Han; Wasserman, Larry Sparse nonparametric graphical models. (English) Zbl 1331.62219 Stat. Sci. 27, No. 4, 519-537 (2012). MSC: 62G07 62A09 62H05 PDFBibTeX XMLCite \textit{J. Lafferty} et al., Stat. Sci. 27, No. 4, 519--537 (2012; Zbl 1331.62219) Full Text: DOI arXiv Euclid
Zhao, Tuo; Liu, Han; Roeder, Kathryn; Lafferty, John; Wasserman, Larry The huge package for high-dimensional undirected graph estimation in R. (English) Zbl 1283.68311 J. Mach. Learn. Res. 13, 1059-1062 (2012). MSC: 68T05 62-04 68-04 68N15 PDFBibTeX XMLCite \textit{T. Zhao} et al., J. Mach. Learn. Res. 13, 1059--1062 (2012; Zbl 1283.68311) Full Text: arXiv Link
Liu, Han; Han, Fang; Yuan, Ming; Lafferty, John; Wasserman, Larry High-dimensional semiparametric Gaussian copula graphical models. (English) Zbl 1297.62073 Ann. Stat. 40, No. 4, 2293-2326 (2012). MSC: 62G05 62G20 62F12 62H20 PDFBibTeX XMLCite \textit{H. Liu} et al., Ann. Stat. 40, No. 4, 2293--2326 (2012; Zbl 1297.62073) Full Text: DOI arXiv Euclid
Kolar, Mladen; Lafferty, John; Wasserman, Larry Union support recovery in multi-task learning. (English) Zbl 1280.62047 J. Mach. Learn. Res. 12, 2415-2435 (2011). MSC: 62G08 62J07 68T05 PDFBibTeX XMLCite \textit{M. Kolar} et al., J. Mach. Learn. Res. 12, 2415--2435 (2011; Zbl 1280.62047) Full Text: arXiv Link
Liu, Han; Xu, Min; Gu, Haijie; Gupta, Anupam; Lafferty, John; Wasserman, Larry Forest density estimation. (English) Zbl 1280.62045 J. Mach. Learn. Res. 12, 907-951 (2011). MSC: 62G07 62H12 62M05 PDFBibTeX XMLCite \textit{H. Liu} et al., J. Mach. Learn. Res. 12, 907--951 (2011; Zbl 1280.62045) Full Text: arXiv Link
Zhou, Shuheng; Lafferty, John; Wasserman, Larry Time varying undirected graphs. (English) Zbl 1475.62174 Mach. Learn. 80, No. 2-3, 295-319 (2010). MSC: 62H22 62H12 05C90 PDFBibTeX XMLCite \textit{S. Zhou} et al., Mach. Learn. 80, No. 2--3, 295--319 (2010; Zbl 1475.62174) Full Text: DOI arXiv
Ravikumar, Pradeep; Wainwright, Martin J.; Lafferty, John D. High-dimensional Ising model selection using \(\ell _{1}\)-regularized logistic regression. (English) Zbl 1189.62115 Ann. Stat. 38, No. 3, 1287-1319 (2010). MSC: 62J12 62F12 05C90 68T99 62M40 PDFBibTeX XMLCite \textit{P. Ravikumar} et al., Ann. Stat. 38, No. 3, 1287--1319 (2010; Zbl 1189.62115) Full Text: DOI arXiv
Ravikumar, Pradeep; Lafferty, John; Liu, Han; Wasserman, Larry Sparse additive models. (English) Zbl 1411.62107 J. R. Stat. Soc., Ser. B, Stat. Methodol. 71, No. 5, 1009-1030 (2009). MSC: 62G08 62G05 62H30 PDFBibTeX XMLCite \textit{P. Ravikumar} et al., J. R. Stat. Soc., Ser. B, Stat. Methodol. 71, No. 5, 1009--1030 (2009; Zbl 1411.62107) Full Text: DOI arXiv
Zhou, Shuheng; Lafferty, John; Wasserman, Larry Compressed and privacy-sensitive sparse regression. (English) Zbl 1367.62208 IEEE Trans. Inf. Theory 55, No. 2, 846-866 (2009). MSC: 62J02 62M20 68T05 94A05 94A12 PDFBibTeX XMLCite \textit{S. Zhou} et al., IEEE Trans. Inf. Theory 55, No. 2, 846--866 (2009; Zbl 1367.62208) Full Text: DOI
Liu, Han; Lafferty, John; Wasserman, Larry The nonparanormal: semiparametric estimation of high dimensional undirected graphs. (English) Zbl 1235.62035 J. Mach. Learn. Res. 10, 2295-2328 (2009). MSC: 62G05 62H99 05C99 PDFBibTeX XMLCite \textit{H. Liu} et al., J. Mach. Learn. Res. 10, 2295--2328 (2009; Zbl 1235.62035) Full Text: arXiv Link
Lafferty, John; Wasserman, Larry Rodeo: Sparse, greedy nonparametric regression. (English) Zbl 1132.62026 Ann. Stat. 36, No. 1, 28-63 (2008). MSC: 62G08 62G20 62G07 62G10 62G05 PDFBibTeX XMLCite \textit{J. Lafferty} and \textit{L. Wasserman}, Ann. Stat. 36, No. 1, 28--63 (2008; Zbl 1132.62026) Full Text: DOI arXiv Euclid
Verducci, Joseph Stephen (ed.); Shen, Xiaotong (ed.); Lafferty, John (ed.) Prediction and discovery. AMS-IMS-SIAM joint summer research conference on machine and statistical learning: prediction and discovery, Snowbird, UT, USA, June 25–29, 2006. (English) Zbl 1123.62002 Contemporary Mathematics 443. Providence, RI: American Mathematical Society (AMS) (ISBN 978-0-8218-4195-2/pbk). vi, 226 p. (2007). MSC: 62-06 00B25 PDFBibTeX XMLCite \textit{J. S. Verducci} (ed.) et al., Prediction and discovery. AMS-IMS-SIAM joint summer research conference on machine and statistical learning: prediction and discovery, Snowbird, UT, USA, June 25--29, 2006. Providence, RI: American Mathematical Society (AMS) (2007; Zbl 1123.62002) Full Text: DOI
Blei, David M.; Lafferty, John D. A correlated topic model of science. (English) Zbl 1129.62122 Ann. Appl. Stat. 1, No. 1, 17-35 (2007). MSC: 62P99 65C60 62F15 PDFBibTeX XMLCite \textit{D. M. Blei} and \textit{J. D. Lafferty}, Ann. Appl. Stat. 1, No. 1, 17--35 (2007; Zbl 1129.62122) Full Text: DOI arXiv Euclid
Lafferty, John; Wasserman, Larry Rodeo: Sparse Nonparametric Regression in High Dimensions. arXiv:math/0506342 Preprint, arXiv:math/0506342 [math.ST] (2005). MSC: 62G08 BibTeX Cite \textit{J. Lafferty} and \textit{L. Wasserman}, ``Rodeo: Sparse Nonparametric Regression in High Dimensions'', Preprint, arXiv:math/0506342 [math.ST] (2005) Full Text: arXiv
Lafferty, John D.; Suhm, Bernhard Cluster expansions and iterative scaling for maximum entropy language models. (English) Zbl 0900.82002 Hanson, Kenneth M. (ed.) et al., Maximum entropy and Bayesian methods. Proceedings of the 15th international workshop, Santa Fe, NM, USA, July 31–August 4, 1995. Dordrecht: Kluwer Academic Publishers. Fundam. Theor. Phys. 79, 195-202 (1996). MSC: 82-08 62B10 82D99 PDFBibTeX XMLCite \textit{J. D. Lafferty} and \textit{B. Suhm}, Fundam. Theor. Phys. 79, 195--202 (1996; Zbl 0900.82002)