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Publications

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Schelter, Sebastian and Ewen, Stephan and Tzoumas, Kostas and Markl, Volker (2013). “All Roads Lead to Rome:” Optimistic Recovery for Distributed Iterative Data Processing. Proceedings of the ACM conference on Information and Knowledge Management} year={2013

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Schelter, Sebastian and Boden, Christoph and Schenck, Martin and Alexandrov, Alexander and Markl, Volker (2013). Distributed matrix factorization with MapReduce using a series of broadcast-joins. Proceedings of the 7th ACM conference on Recommender systems, 281–284.

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Schelter, Sebastian and Boden, Christoph and Markl, Volker (2012). Scalable similarity-based neighborhood methods with MapReduce. Proceedings of the sixth ACM conference on Recommender systems, 163–170.

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Sebastian Schelter and Stephan Ewen and Kostas Tzoumas and Volker Markl (2013). "All roads lead to Rome": optimistic recovery for distributed iterative data processing. CIKM, 1919-1928.


Sebastian Schelter and Christoph Boden and Martin Schenck and Alexander Alexandrov and Volker Markl (2013). Distributed matrix factorization with mapreduce using a series of broadcast-joins. RecSys, 281-284.


Sebastian Schelter and Venu Satuluri and Reza Zadeh (2014). Factorbird - a Parameter Server Approach to Distributed Matrix Factorization. CoRR

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Schelter, Sebastian (2014). Scaling Data Mining in Massively Parallel Dataflow Systems. Proceedings of the 2014 SIGMOD PhD Symposium. ACM, 11–15.

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Sebastian Schelter and Juan Soto and Volker Markl and Douglas Burdick and Berthold Reinwald and Alexandre V. Evfimievski (2015). Efficient sample generation for scalable meta learning. 31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April 13-17, 2015, 1191–1202.

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Viktor Rosenfeld and Max Heimel and Christoph Viebig and Volker Markl (2015). The Operator Variant Selection Problem on Heterogeneous Hardware. International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures - ADMS 2015, Kohala Coast, Hawaii, USA, August 31, 2015., 1–12.

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Sebastian Robert Riedel and Sameer Singh and Vivek Srikumar and Tim Rocktäschel and Larysa Visengeriyeva and Jan Noessner (2014). WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. Statistical Relational Artificial Intelligence, Papers from the 2014 AAAI Workshop, Québec City, Québec, Canada, July 27, 2014

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