Prof. Dr. Marius Kloft

Short Bio


Since 2014 Marius Kloft is a junior professor of machine learning at the Department of Computer Science of Humboldt University of Berlin. He currently is on leave as a junior professor because he is temporarily serving as an interim professor of algorithm engineering at the same department. At the same time, he is leading since 2015 the Emmy-Noether research group on statistical learning from dependent data. Prior to joining HU Berlin he was a joint postdoctoral fellow at the Courant Institute of Mathematical Sciences and Memorial Sloan-Kettering Cancer Center, New York, working with Mehryar Mohri, Corinna Cortes, and Gunnar Rätsch. From 2007-2011, he was a PhD student in the machine learning program of TU Berlin, headed by Klaus-Robert Müller. He was co-advised by Gilles Blanchard and Peter L. Bartlett, whose learning theory group at UC Berkeley he visited from 10/2009 to 10/2010. In 2006, he received a diploma (MSc equivalent) in mathematics from the University of Marburg with a thesis in algebraic geometry.

Research Interests


Marius Kloft is interested in theory and algorithms of statistical machine learning and its applications, especially in statistical genetics. He has been working on, e.g., multiple kernel learning, multi-task learning, anomaly detection, extreme classification, and adversarial learning for computer security. He has co-organized workshops on multiple kernel learning, multi-task learning, and anomaly detection at NIPS 2010, 2013, and 2014 and ICML 2016. His dissertation on Lp-norm multiple kernel learning was nominated by TU Berlin for the Doctoral Dissertation Award of the German Chapter of the ACM (GI). In 2014, he received the Google Most Influential Papers 2013 Award.

News


PhD Students & Postdocs


Teaching


Current courses:
Past courses:

Publications


2016

2015

2014

2013

2012

2011

2010

2009

2008 and before

Activities


2016 Advisory Board: Basudha Trust. Action Editor: JMLR special issue on Multi Task Learning, Domain Adaptation and Transfer Learning. Program Committee: AAAI, ECAI, ICML, KDML, TFML; Editorial board: Machine Learning. Reviewer: AISTATS, Bioinformatics, COSE, IEEE CYB, CIC, JMLR, MLJ, NEPL, NIPS, Sensors, TDPS, TNNLS, TPAMI. 2015 Advisory Board: Basudha Trust. Action Editor: JMLR. Editorial board: Machine Learning. Workshop Organization: Dagstuhl. Program Committee: FE NIPS WS, IJCAI, KDML. Reviewer: Algorithms, ALT, Bioinformatics, CVIU, COLT, Computation, CVIU, Computers and Security, DFG, EU, ICML, INFFUS, IEEE CYB, IEEE IT, JMLR, Math Rev, MLJ, NEPL, NCAA, NIPS, Sensors, SPM, TNNLS, TPAMI . 2014 Advisory Board: Basudha Trust. Workshop Organization: NIPS. Program Committee: ECCV TASK-CV, ICPR. Reviewer: Bioinformatics, CVIU, ICML, INFFUS, IEEE IP, IEEE IT, INFFUS, IPM, JMLR, Math Rev, MLJ, NEPL, NEUNET, NIPS: PLoS ONE, TKDE, TNNLS, TPAMI, TSMCB. 2013 Workshop Organization: NIPS. Area co-chairing (w G. Rätsch): NIPS. Program Committee: ACML, ECML/PKDD, NCVPRIPG. Reviewer: AISTATS, ALT, Bioinformatics, Biosystems, EJS, ICML, IJA, IEEE IT, IJITDM, JMLR, Math Rev, MLCB, NEPL, NEUCOM, NIPS, PloS Comp Bio, PLoS ONE, SPM, TKDE, TNNLS, TPAMI, TSMCB. 2012 Program Committee: ECML/PKDD, ICPR. Reviewer: COLT, DKE, EJS, ICVGIP, JMLR, JCST, NEPL, NEUCOM, NEUNET, NIPS, OPT2012, PR, SMCB, SPM, TNNLS, TPAMI. 2011 Program Committee: IJCAI. Reviewer: COLT, DAGM, ICML, JCST, JMLR, KAIS, MLJ, NEPL, NIPS, TNN, TPAMI, ZUSC. 2010 Workshop Organization: NIPS. Program Committee: AISEC, ECML/PKDD, ICPR. Reviewer: BInf, CSDA, ICML, JMLR, MLJ, NEPL, NIPS, TNN, TPAMI. 2009 Program Committee: AISEC; Reviewer: TPAMI, TNN, PR, ECML/PKDD, NIPS, ICML, AISTATS. 2008 Reviewer: TPAMI, NEUCOM, AAAI, PAKDD, ECML/PKDD, NIPS. 2007 Reviewer: NIPS, PAKDD.

Acknowledgements / Collaborators






*Contributed equally.
**The original publication is available at http://www.acm.org.
***The original publication is available at http://www.springerlink.com.
****The original publication is available at http://ieeexplore.ieee.org.
*****The original publication is available at http://journals.cambridge.org.
******The original publication is available at http://www.plosone.org.