Markus Weimer
Markus Weimer
Principal Scientist; Microsoft
Verified email at microsoft.com - Homepage
TitleCited byYear
Parallelized stochastic gradient descent
M Zinkevich, M Weimer, L Li, AJ Smola
Advances in neural information processing systems, 2595-2603, 2010
8832010
Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy
N Koenigstein, G Dror, Y Koren
Proceedings of the fifth ACM conference on Recommender systems, 165-172, 2011
502*2011
Cofi rank-maximum margin matrix factorization for collaborative ranking
M Weimer, A Karatzoglou, QV Le, AJ Smola
Advances in neural information processing systems, 1593-1600, 2008
4172008
Improving maximum margin matrix factorization
M Weimer, A Karatzoglou, A Smola
Machine Learning 72 (3), 263-276, 2008
1362008
Automatically assessing the post quality in online discussions on software
M Weimer, I Gurevych, M Mühlhäuser
Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and …, 2007
1242007
Machine learning on big data
T Condie, P Mineiro, N Polyzotis, M Weimer
2013 IEEE 29th International Conference on Data Engineering (ICDE), 1242-1244, 2013
692013
Scaling datalog for machine learning on big data
Y Bu, V Borkar, MJ Carey, J Rosen, N Polyzotis, T Condie, M Weimer, ...
arXiv preprint arXiv:1203.0160, 2012
632012
Predicting the perceived quality of web forum posts
M Weimer, I Gurevych
Proceedings of the conference on recent advances in natural language …, 2007
632007
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
582007
Collaborative filtering on a budget
A Karatzoglou, A Smola, M Weimer
Proceedings of the Thirteenth International Conference on Artificial …, 2010
412010
Iterative mapreduce for large scale machine learning
J Rosen, N Polyzotis, V Borkar, Y Bu, MJ Carey, M Weimer, T Condie, ...
arXiv preprint arXiv:1303.3517, 2013
392013
Declarative Systems for Large-Scale Machine Learning.
VR Borkar, Y Bu, MJ Carey, J Rosen, N Polyzotis, T Condie, M Weimer, ...
IEEE Data Eng. Bull. 35 (2), 24-32, 2012
382012
Machine learning in ScalOps, a higher order cloud computing language
M Weimer, T Condie, R Ramakrishnan
NIPS 2011 Workshop on parallel and large-scale machine learning (BigLearn) 9 …, 2011
362011
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
322015
Towards geo-distributed machine learning
I Cano, M Weimer, D Mahajan, C Curino, GM Fumarola
arXiv preprint arXiv:1603.09035, 2016
312016
Reef: Retainable evaluator execution framework
BG Chun, T Condie, C Curino, C Douglas, S Matusevych, B Myers, ...
Proceedings of the VLDB Endowment 6 (12), 1370-1373, 2013
302013
Adaptive collaborative filtering
M Weimer, A Karatzoglou, A Smola
Proceedings of the 2008 ACM conference on Recommender systems, 275-282, 2008
232008
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
192009
Towards resource-elastic machine learning
S Narayanamurthy, M Weimer, D Mahajan, T Condie, S Sellamanickam, ...
NIPS 2013 BigLearn Workshop 1 (2.1), 2.3, 2013
172013
{PRETZEL}: Opening the Black Box of Machine Learning Prediction Serving Systems
Y Lee, A Scolari, BG Chun, MD Santambrogio, M Weimer, M Interlandi
13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018
162018
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Articles 1–20