Malte Probst

Contents

  1. Research Interests
  2. Teaching
  3. CV
  4. Publications
  5. Journal Publications
  6. Chapter in Book
  7. Conference Publications
  8. Working Papers
  9. Others
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Research Interests

  • Machine learning, in particular neural networks
  • Estimation of Distribution Algorithms (EDAs) for combinatorial optimization problems and variable-length representation problems
  • Reinforcement learning: intelligent agents

current research project: EDAs for variable-length encoding problems using neural network models

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Teaching

  • Lecturer "SAP TERP10" (winter terms 2011/2012, 2012/2013, 2013/2014, 2014/2015)
  • Teaching assistant in Winfo 3 "Advanced Information Systems" (summer terms 2011-2014)
  • Lecturer "Grundlagen der Wirtschaftsinformatik" (Informations Systems) at the Verwaltungsfachhochschule Wiesbaden (winter terms 2012/2013, 2013/2014)
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CV

  • Born 1981 in Stuttgart, Germany
  • 1998-2007 Co-founder of an internet service company (partnership under the civil code), webdesign, webhosting, programming
  • 2002-2008 Diplom Wirtschaftsinformatik (Computer science and business administration) University of Mannheim, Germany
  • 2005-2006 Visiting student at the University of Connecticut, CT, USA
  • 01/2007-08/2007 Internship in product management of Deutschen Telekom AG, Paris
  • 10/2007-03/2008 Diploma thesis in cooperation with Detecon, Bonn. Title : "Impact of the IP Multimedia Subsystem on the Telco Supplier Market"
  • 05/2008-09/2010 Technical Consultant at Hewlett-Packard GmbH, Bad Homburg, tasks: consulting and systems integration at European Telco providers
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Publications

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Journal Publications

english Probst, Malte; Rothlauf, Franz ; Grahl, Jörn: Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization, In: European Journal of Operational Research, Vol. 256, No. 2, 2017, pp. 368-383. Details  english Pfeiffer, Jella; Probst, Malte; Steitz, Wolfgang; Rothlauf, Franz: Inferring Decision Strategies from Clickstreams in Decision Support Systems: A New Process-Tracing Approach Using State Machines, In: Journal of Business Economics (Zeitschrift für Betriebswirtschaftslehre), Vol. 82, No. 4, 2012. Details 

 

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Chapter in Book

english Pfeiffer, Jella; Probst, Malte; Steitz, Wolfgang; Rothlauf, Franz: Inferring Decision Strategies from Clickstreams in Decision Support Systems: A New Process-Tracing Approach using State Machines, In: Armin Heinzl et al. (eds.): Theory-Guided Modeling and Empiricism in Information Systems Research. Physica-Verlag, Springer, Heidelberg , 2011. pp. 145-173. Details 

 

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Conference Publications

english Probst, Malte: Denoising Autoencoders for fast Combinatorial Black Box Optimization, In: ACM (eds.): Proceedings of the Companion Publication of the 2015 Genetic and Evolutionary Computation Conference, Madrid, Spain, 11.07.2015. 2015, pp. 1459-1460. Details  english Probst, Malte; Rothlauf, Franz ; Grahl, Jörn: An Implicitly Parallel EDA Based on Restricted Boltzmann Machines, In: Proceedings of the 2014 Conference on Genetic and Evolutionary Computation, Vancouver, BC, Canada, July 12-16, 2014. ACM, New York, NY, USA, 2014. Details  deutsch Kopf, Stefan; Lampi, Fleming; King, Thomas; Probst, Malte: EDL Editor: Eine Anwendung zur automatischen Aufbereitung von Vorlesungsvideos, In: Proc. of DeLFI 2007, e-Learning Fachtagung Informatik der Gesellschaft für Informatik (Best Paper Session), Siegen, 09.2007, Vol. 5. 2007, pp. 33-34. Details 

 

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Working Papers

english Probst, Malte; Rothlauf, Franz : Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization, 2015. Details  english Probst, Malte: Denoising Autoencoders for fast Combinatorial Black Box Optimization, 2015. Details  english Probst, Malte; Rothlauf, Franz : Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization, 2015. Details  english Probst, Malte; Rothlauf, Franz ; Grahl, Jörn: Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization, 2014. Details  english Probst, Malte; Rothlauf, Franz : Training a Restricted Boltzmann Machine for classification by labeling model samples, 2012. Details 

 

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Others

english Probst, Malte; Rieger, Volker: Vendor strategies in the IMS ecosystem - Finding the right niche, Vol. Detecon Opinion Paper, Bonn 2008. Details 

 

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