Peter Bühlmann

According to our database1, Peter Bühlmann authored at least 37 papers between 2003 and 2020.

Collaborative distances:



In proceedings 
PhD thesis 





Rejoinder on: Hierarchical inference for genome-wide association studies: a view on methodology with software.
Comput. Stat., 2020

Hierarchical inference for genome-wide association studies: a view on methodology with software.
Comput. Stat., 2020

Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression.
CoRR, 2020

SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise.
J. Mach. Learn. Res., 2019

Change point detection for graphical models in presence of missing values.
CoRR, 2019

groupICA: Independent component analysis for grouped data.
CoRR, 2018

Magging: Maximin Aggregation for Inhomogeneous Large-Scale Data.
Proceedings of the IEEE, 2016

Assessing statistical significance in multivariable genome wide association analysis.
Bioinform., 2016

Structural Intervention Distance for Evaluating Causal Graphs.
Neural Computation, 2015

Pattern alternating maximization algorithm for missing data in high-dimensional problems.
J. Mach. Learn. Res., 2014

High-dimensional learning of linear causal networks via inverse covariance estimation.
J. Mach. Learn. Res., 2014

Two optimal strategies for active learning of causal models from interventional data.
Int. J. Approx. Reason., 2014

Hypersurfaces and Their Singularities in Partial Correlation Testing.
Found. Comput. Math., 2014

High-dimensional variable screening and bias in subsequent inference, with an empirical comparison.
Comput. Stat., 2014

Causal statistical inference in high dimensions.
Math. Methods Oper. Res., 2013

Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables.
Comput. Stat. Data Anal., 2013

CAM: Causal Additive Models, high-dimensional order search and penalized regression.
CoRR, 2013

Missing values: sparse inverse covariance estimation and an extension to sparse regression.
Stat. Comput., 2012

Characterization and greedy learning of interventional Markov equivalence classes of directed acyclic graphs.
J. Mach. Learn. Res., 2012

Two Optimal Strategies for Active Learning of Causal Models from Interventions
CoRR, 2012

Causal stability ranking.
Bioinform., 2012

MissForest - non-parametric missing value imputation for mixed-type data.
Bioinform., 2012

High-dimensional Covariance Estimation Based On Gaussian Graphical Models.
J. Mach. Learn. Res., 2011

Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs (Abstract).
Proceedings of the UAI 2011, 2011

Twin Boosting: improved feature selection and prediction.
Stat. Comput., 2010

Model-based Boosting 2.0.
J. Mach. Learn. Res., 2010

Robustified L<sub>2</sub> boosting.
Comput. Stat. Data Anal., 2008

Annotating novel genes by integrating synthetic lethals and genomic information.
BMC Syst. Biol., 2008

Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm.
J. Mach. Learn. Res., 2007

Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries.
BMC Bioinform., 2007

Analyzing gene expression data in terms of gene sets: methodological issues.
Bioinform., 2007

Sparse Boosting.
J. Mach. Learn. Res., 2006

A systematic comparison and evaluation of biclustering methods for gene expression data.
Bioinform., 2006

Model-based boosting in high dimensions.
Bioinform., 2006

Boosting and l<sup>1</sup>-Penalty Methods for High-dimensional Data with Some Applications in Genomics.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Boosting for Tumor Classification with Gene Expression Data.
Bioinform., 2003