Markus Kalisch

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 6

Top Topics

Markov Equivalence Classes

Domain Specific Knowledge

Top Venues

J. Mach. Learn. Res.

Publications

Claude Renaux, Laura Buzdugan, Markus Kalisch, Peter Bühlmann
Rejoinder on: Hierarchical inference for genome-wide association studies: a view on methodology with software. Comput. Stat. 35 (1) (2020)
Claude Renaux, Laura Buzdugan, Markus Kalisch, Peter Bühlmann
Hierarchical inference for genome-wide association studies: a view on methodology with software. Comput. Stat. 35 (1) (2020)
Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs. J. Mach. Learn. Res. 18 (2017)
Emilija Perkovic, Markus Kalisch, Marloes H. Maathuis
Interpreting and Using CPDAGs With Background Knowledge. UAI (2017)
Laura Buzdugan, Markus Kalisch, Arcadi Navarro, Daniel Schunk, Ernst Fehr, Peter Bühlmann
Assessing statistical significance in multivariable genome wide association analysis. Bioinform. 32 (13) (2016)
Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis
A Complete Generalized Adjustment Criterion. UAI (2015)
Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson
Learning high-dimensional DAGs with latent and selection variables CoRR (2011)
Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson
Learning high-dimensional DAGs with latent and selection variables (Abstract). UAI (2011)
Roman Werner Lutz, Markus Kalisch, Peter Bühlmann
boosting. Comput. Stat. Data Anal. 52 (7) (2008)
Daniel Schöner, Markus Kalisch, Christian Leisner, Lukas Meier, Marc Sohrmann, Mahamadou Faty, Yves Barral, Matthias Peter, Wilhelm Gruissem, Peter Bühlmann
Annotating novel genes by integrating synthetic lethals and genomic information. BMC Syst. Biol. 2 (2008)
Markus Kalisch, Peter Bühlmann
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm. J. Mach. Learn. Res. 8 (2007)