Joseph K. Bradley

Publication Activity (10 Years)

Years Active: 2007-2016
Publications (10 Years): 8

Top Topics

Pairwise Comparison

Relational Data

Preference Learning

Top Venues

J. Mach. Learn. Res.

Publications

Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan R. Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, D. B. Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar
MLlib: Machine Learning in Apache Spark. J. Mach. Learn. Res. 17 (2016)
Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet S. Talwalkar
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. NIPS (2016)
Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. J. Mach. Learn. Res. 17 (2016)
Xiao Li, Joseph K. Bradley, Sameer Pawar, Kannan Ramchandran
SPRIGHT: A Fast and Robust Framework for Sparse Walsh-Hadamard Transform. CoRR (2015)
Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. AISTATS (2015)
Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan R. Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, D. B. Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar
MLlib: Machine Learning in Apache Spark. CoRR (2015)
Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. CoRR (2015)
Michael Armbrust, Reynold S. Xin, Cheng Lian, Yin Huai, Davies Liu, Joseph K. Bradley, Xiangrui Meng, Tomer Kaftan, Michael J. Franklin, Ali Ghodsi, Matei Zaharia
Spark SQL: Relational Data Processing in Spark. SIGMOD Conference (2015)
Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
When is it Better to Compare than to Score? CoRR (2014)
Xinghao Pan, Stefanie Jegelka, Joseph E. Gonzalez, Joseph K. Bradley, Michael I. Jordan
Parallel Double Greedy Submodular Maximization. NIPS (2014)
Joseph K. Bradley, Carlos Guestrin
Sample Complexity of Composite Likelihood. AISTATS (2012)
Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin
Parallel Coordinate Descent for L1-Regularized Loss Minimization. ICML (2011)
Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin
Parallel Coordinate Descent for L1-Regularized Loss Minimization CoRR (2011)
Joseph K. Bradley, Carlos Guestrin
Learning Tree Conditional Random Fields. ICML (2010)
Joseph K. Bradley, Robert E. Schapire
FilterBoost: Regression and Classification on Large Datasets. NIPS (2007)