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Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression


May 29, 2020
Domagoj ─ćevid, Loris Michel, Nicolai Meinshausen, Peter B├╝hlmann


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Fair Data Adaptation with Quantile Preservation


Nov 15, 2019
Drago Ple─Źko, Nicolai Meinshausen


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The xyz algorithm for fast interaction search in high-dimensional data


Sep 17, 2018
Gian-Andrea Thanei, Nicolai Meinshausen, Rajen D. Shah

* JMLR. Journal of Machine Learning Research. The xyz algorithm for fast interaction search in high-dimensional data. Gian-Andrea Thanei, Nicolai Meinshausen, Rajen D. Shah. 19.37.1.42. 2018 

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Conditional Variance Penalties and Domain Shift Robustness


May 08, 2018
Christina Heinze-Deml, Nicolai Meinshausen


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On b-bit min-wise hashing for large-scale regression and classification with sparse data


Feb 26, 2018
Rajen D. Shah, Nicolai Meinshausen

* 40 pages 

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Preserving Differential Privacy Between Features in Distributed Estimation


Jun 27, 2017
Christina Heinze-Deml, Brian McWilliams, Nicolai Meinshausen

* Stat 7 (1), 2018 

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Scalable Adaptive Stochastic Optimization Using Random Projections


Nov 21, 2016
Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen

* To appear in Advances in Neural Information Processing Systems 29 (NIPS 2016) 

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DUAL-LOCO: Distributing Statistical Estimation Using Random Projections


Jan 08, 2016
Christina Heinze, Brian McWilliams, Nicolai Meinshausen

* Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 51, 2016, 12 pages 
* 13 pages 

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backShift: Learning causal cyclic graphs from unknown shift interventions


Nov 18, 2015
Dominik Rothenh├Ąusler, Christina Heinze, Jonas Peters, Nicolai Meinshausen

* Advances in Neural Information Processing Systems 28 (2015) 1513-1521 

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LOCO: Distributing Ridge Regression with Random Projections


Jun 08, 2015
Christina Heinze, Brian McWilliams, Nicolai Meinshausen, Gabriel Krummenacher

* 37 pages 

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Minimum Distance Estimation for Robust High-Dimensional Regression


Jul 11, 2013
Aur├ęlie C. Lozano, Nicolai Meinshausen


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Random Intersection Trees


Mar 25, 2013
Rajen Dinesh Shah, Nicolai Meinshausen

* Journal of Machine Learning Research 15 (2014) 629-654 
* 23 pages, 4 figures 

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Discussion: Latent variable graphical model selection via convex optimization


Nov 05, 2012
Steffen Lauritzen, Nicolai Meinshausen

* Annals of Statistics 2012, Vol. 40, No. 4, 1973-1977 
* Published in at http://dx.doi.org/10.1214/12-AOS980 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

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Node harvest


Jan 07, 2011
Nicolai Meinshausen

* Annals of Applied Statistics 2010, Vol. 4, No. 4, 2049-2072 
* Published in at http://dx.doi.org/10.1214/10-AOAS367 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

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LASSO ISOtone for High Dimensional Additive Isotonic Regression


Jun 15, 2010
Zhou Fang, Nicolai Meinshausen


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Forest Garrote


Jun 19, 2009
Nicolai Meinshausen

* 16 pages, 3 figures 

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P-values for high-dimensional regression


Jun 12, 2009
Nicolai Meinshausen, Lukas Meier, Peter B├╝hlmann

* 25 pages, 4 figures 

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