2013 Theses by Author

Pranjal AWASTHI , Joseph K BRADLEY , Lucia CASTELLANOS , Xi CHEN

PowerGraph: distributed graph-parallel computation on natural graphs

Joseph E Gonzalez , Yucheng Low , Haijie Gu , Danny Bickson
operating systems design and implementation 17 -30

2,242
2012
Residual Splash for Optimally Parallelizing Belief Propagation

Carlos Guestrin , Yucheng Low , Joseph Gonzalez
international conference on artificial intelligence and statistics 177 -184

180
2009
Kernel Belief Propagation

Danny Bickson , Carlos Guestrin , Le Song , Yucheng Low
international conference on artificial intelligence and statistics 707 -715

84
2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees

Carlos Guestrin , Yucheng Low , Joseph Gonzalez , Arthur Gretton
international conference on artificial intelligence and statistics 324 -332

98
2011
Distributed GraphLab: A Framework for Machine Learning in the Cloud

Danny Bickson , Aapo Kyrola , Carlos Guestrin , Joseph M. Hellerstein
arXiv: Databases

2,372
2012
GraphLab: A New Framework for Parallel Machine Learning

Danny Bickson , Aapo Kyrola , Carlos E. Guestrin , Joseph Hellerstein
arXiv: Learning

1,030
2010
Data Platform for Machine Learning

Pulkit Agrawal , Rajat Arya , Aanchal Bindal , Sandeep Bhatia
international conference on management of data 1803 -1816

8
2019
Fast top-k similarity queries via matrix compression

Yucheng Low , Alice X. Zheng
Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12 2070 -2074

11
2012
Multiple domain user personalization

Yucheng Low , Deepak Agarwal , Alexander J Smola ,
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11 123 -131

26
2011
Scalable distributed inference of dynamic user interests for behavioral targeting

Amr Ahmed , Yucheng Low , Mohamed Aly , Vanja Josifovski
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11 114 -122

216
2011
Parallel belief propagation in factor graphs

Joseph Gonzalez , Yucheng Low , Carlos Guestrin
Scaling Up Machine Learning: Parallel and Distributed Approaches

4
2011
Git is for data

Yucheng Low , Rajat Arya , Ajit Banerjee , Ann Huang
Smpte Journal

2023
Graphlab: A new parallel framework for machine learning

Yucheng Low , Joseph Gonzalez , Aapo Kyrola , Danny Bickson
Conference on uncertainty in artificial intelligence (UAI) 20

453
2010
Distributed parallel inference on large factor graphs

Joseph E Gonzalez , Yucheng Low , Carlos E Guestrin , David O'Hallaron
arXiv preprint arXiv:1205.2645

87
2012
User-interface for developing applications that apply machine learning

Yucheng Low , Tim Muss , Zach Nation , Eric Wolfe

78
2021
Graphlab: A distributed framework for machine learning in the cloud

Yucheng Low , Joseph Gonzalez , Aapo Kyrola , Danny Bickson
arXiv preprint arXiv:1107.0922

30
2011
22
2019
Parallel splash belief propagation

Joseph Gonzalez , Yucheng Low , Carlos Guestrin
J. Mach. Learn. Res 1 1 -48

11
2009