Articles with public access mandates - Markus WeimerLearn more
Not available anywhere: 1
Introduction to NIPS 2017 Competition Track
S Escalera, M Weimer, M Burtsev, V Malykh, V Logacheva, R Lowe, ...
The NIPS'17 Competition: Building Intelligent Systems, 1-23, 2018
Mandates: US National Institutes of Health
Available somewhere: 10
Cofi rank-maximum margin matrix factorization for collaborative ranking
M Weimer, A Karatzoglou, Q Le, A Smola
Advances in neural information processing systems 20, 2007
Mandates: German Research Foundation
Improving maximum margin matrix factorization
M Weimer, A Karatzoglou, A Smola
Machine Learning 72, 263-276, 2008
Mandates: German Research Foundation
Automatically assessing the post quality in online discussions on software
M Weimer, I Gurevych, M Mühlhäuser
Proceedings of the 45th Annual Meeting of the Association for Computational …, 2007
Mandates: German Research Foundation
Darmstadt knowledge processing repository based on UIMA
I Gurevych, M Mühlhäuser, C Müller, J Steimle, M Weimer, T Zesch
Proceedings of the First Workshop on Unstructured Information Management …, 2007
Mandates: German Research Foundation
Reef: Retainable evaluator execution framework
M Weimer, Y Chen, BG Chun, T Condie, C Curino, C Douglas, Y Lee, ...
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
Mandates: US National Institutes of Health
Adaptive collaborative filtering
M Weimer, A Karatzoglou, A Smola
Proceedings of the 2008 ACM conference on Recommender systems, 275-282, 2008
Mandates: German Research Foundation
Maximum margin matrix factorization for code recommendation
M Weimer, A Karatzoglou, M Bruch
Proceedings of the third ACM conference on Recommender systems, 309-312, 2009
Mandates: German Research Foundation
Batch-expansion training: an efficient optimization framework
M Derezinski, D Mahajan, SS Keerthi, SVN Vishwanathan, M Weimer
International Conference on Artificial Intelligence and Statistics, 736-744, 2018
Mandates: US National Science Foundation
Apache REEF: Retainable evaluator execution framework
BG Chun, T Condie, Y Chen, B Cho, A Chung, C Curino, C Douglas, ...
ACM Transactions on Computer Systems (TOCS) 35 (2), 1-31, 2017
Mandates: US National Science Foundation, US National Institutes of Health
Collaborative preference learning
A Karatzoglou, M Weimer
Preference Learning, 409-427, 2010
Mandates: German Research Foundation
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