{PowerGraph}: Distributed {Graph-Parallel} computation on natural graphs JE Gonzalez, Y Low, H Gu, D Bickson, C Guestrin 10th USENIX symposium on operating systems design and implementation (OSDI …, 2012 | 2558 | 2012 |
Distributed graphlab: A framework for machine learning in the cloud Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein arXiv preprint arXiv:1204.6078, 2012 | 2538 | 2012 |
Graphlab: A new framework for parallel machine learning Y Low, JE Gonzalez, A Kyrola, D Bickson, CE Guestrin, J Hellerstein arXiv preprint arXiv:1408.2041, 2014 | 1134 | 2014 |
Graphlab: A new parallel framework for machine learning Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein Conference on uncertainty in artificial intelligence (UAI) 20, 2010 | 456 | 2010 |
Scalable distributed inference of dynamic user interests for behavioral targeting A Ahmed, Y Low, M Aly, V Josifovski, AJ Smola Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 196 | 2011 |
Parallel gibbs sampling: From colored fields to thin junction trees J Gonzalez, Y Low, A Gretton, C Guestrin Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 195 | 2011 |
Residual splash for optimally parallelizing belief propagation J Gonzalez, Y Low, C Guestrin Artificial Intelligence and Statistics, 177-184, 2009 | 185 | 2009 |
User-interface for developing applications that apply machine learning Y Low, T Muss, Z Nation, E Wolfe, B Kent, C DuBois, A Zheng, P Wang, ... US Patent 10,928,970, 2021 | 98 | 2021 |
Kernel belief propagation L Song, A Gretton, D Bickson, Y Low, C Guestrin Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 91 | 2011 |
Distributed parallel inference on large factor graphs JE Gonzalez, Y Low, CE Guestrin, D O'Hallaron arXiv preprint arXiv:1205.2645, 2012 | 88 | 2012 |
Data platform for machine learning P Agrawal, R Arya, A Bindal, S Bhatia, A Gagneja, J Godlewski, Y Low, ... Proceedings of the 2019 international conference on management of data, 1803 …, 2019 | 43 | 2019 |
Multiple domain user personalization Y Low, D Agarwal, AJ Smola Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 43 | 2011 |
Graphlab: A distributed abstraction for large scale machine learning Y Low University of California, 2013 | 37 | 2013 |
Graphlab: A distributed framework for machine learning in the cloud Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin arXiv preprint arXiv:1107.0922, 2011 | 31 | 2011 |
Systems and methods for optimizing performance of graph operations H Gu, Y Low, C Guestrin US Patent 10,262,078, 2019 | 26 | 2019 |
Joseph Y Low Distributed GraphLab: A framework for machine learning and data mining in …, 2012 | 23 | 2012 |
Efficient multicore collaborative filtering Y Wu, Q Yan, D Bickson, Y Low, Q Yang arXiv preprint arXiv:1108.2580, 2011 | 17 | 2011 |
Data management platform for machine learning models R Arya, P Agrawal, Z Kaiyu, Y Low, JE Godlewski, MM Paliwal, V Shah, ... US Patent App. 16/583,137, 2020 | 14 | 2020 |
Fast top-k similarity queries via matrix compression Y Low, AX Zheng Proceedings of the 21st ACM international conference on information and …, 2012 | 12 | 2012 |
Parallel splash belief propagation J Gonzalez, Y Low, C Guestrin J. Mach. Learn. Res 1, 1-48, 2009 | 11 | 2009 |