| Parallelized stochastic gradient descent M Zinkevich, M Weimer, L Li, A Smola Advances in neural information processing systems 23, 2010 | 1368 | 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 | 486 | 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 | 305 | 2012 |
| Improving maximum margin matrix factorization M Weimer, A Karatzoglou, A Smola Machine Learning 72 (3), 263-276, 2008 | 160 | 2008 |
| 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 | 134 | 2007 |
| 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 | 96 | 2013 |
| On challenges in machine learning model management S Schelter, F Biessmann, T Januschowski, D Salinas, S Seufert, ... | 92 | 2018 |
| Predicting the perceived quality of web forum posts M Weimer, I Gurevych Proceedings of the Conference on Recent Advances in Natural Language …, 2007 | 74 | 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 | 72 | 2012 |
| {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 (OSDI …, 2018 | 67 | 2018 |
| 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 | 66 | 2007 |
| Towards geo-distributed machine learning I Cano, M Weimer, D Mahajan, C Curino, GM Fumarola arXiv preprint arXiv:1603.09035, 2016 | 51 | 2016 |
| 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 | 51 | 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 | 49 | 2011 |
| Collaborative filtering on a budget A Karatzoglou, A Smola, M Weimer Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 49 | 2010 |
| Learning to solve circuit-SAT: An unsupervised differentiable approach S Amizadeh, S Matusevych, M Weimer International Conference on Learning Representations, 2018 | 47 | 2018 |
| 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 | 47 | 2012 |
| 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 | 42 | 2015 |
| 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 | 40 | 2019 |
| 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 | 31 | 2013 |
Alex SmolaAmazon Web ServicesVerified email at smola.org
