Markus Weimer
Markus Weimer
Principal Scientist; Microsoft
Verified email at - Homepage
Cited by
Cited by
Parallelized stochastic gradient descent
M Zinkevich, M Weimer, L Li, A Smola
Advances in neural information processing systems 23, 2010
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
The yahoo! music dataset and kdd-cup’11
G Dror, N Koenigstein, Y Koren, M Weimer
Proceedings of KDD Cup 2011, 3-18, 2012
Improving maximum margin matrix factorization
M Weimer, A Karatzoglou, A Smola
Machine Learning 72, 263-276, 2008
On challenges in machine learning model management
S Schelter, F Biessmann, T Januschowski, D Salinas, S Seufert, ...
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
Machine learning for big data
T Condie, P Mineiro, N Polyzotis, M Weimer
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems.
Y Lee, A Scolari, BG Chun, MD Santambrogio, M Weimer, M Interlandi
OSDI 18, 611-626, 2018
Predicting the perceived quality of web forum posts
M Weimer, I Gurevych
Proceedings of the Conference on Recent Advances in Natural Language …, 2007
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
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
Flaml: A fast and lightweight automl library
C Wang, Q Wu, M Weimer, E Zhu
Proceedings of Machine Learning and Systems 3, 434-447, 2021
Learning to solve circuit-sat: An unsupervised differentiable approach
S Amizadeh, S Matusevych, M Weimer
International Conference on Learning Representations, 2019
Towards geo-distributed machine learning
I Cano, M Weimer, D Mahajan, C Curino, GM Fumarola
arXiv preprint arXiv:1603.09035, 2016
Machine learning at Microsoft with ML. NET
Z Ahmed, S Amizadeh, M Bilenko, R Carr, WS Chin, Y Dekel, X Dupre, ...
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Collaborative filtering on a budget
A Karatzoglou, A Smola, M Weimer
Proceedings of the Thirteenth International Conference on Artificial …, 2010
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
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
Extending relational query processing with ML inference
K Karanasos, M Interlandi, D Xin, F Psallidas, R Sen, K Park, I Popivanov, ...
arXiv preprint arXiv:1911.00231, 2019
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
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