Joseph K. Bradley

16 papers A* 2A 2Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2016	J	`jnl`	Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. J. Mach. Learn. Res. Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
2016	J	`jnl`	MLlib: Machine Learning in Apache Spark. J. Mach. Learn. Res. Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan Randall 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
2016	—	`conf`	Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. NIPS Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet Talwalkar
2015	A	`conf`	Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. AISTATS Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
2015	J	`jnl`	Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. CoRR Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
2015	J	`jnl`	MLlib: Machine Learning in Apache Spark. CoRR Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan Randall 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
2015	J	`jnl`	SPRIGHT: A Fast and Robust Framework for Sparse Walsh-Hadamard Transform. CoRR Xiao Li, Joseph K. Bradley, Sameer Pawar, Kannan Ramchandran
2015	—	`conf`	Spark SQL: Relational Data Processing in Spark. SIGMOD Conference 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
2014	—	`conf`	Parallel Double Greedy Submodular Maximization. NIPS Xinghao Pan, Stefanie Jegelka, Joseph E. Gonzalez, Joseph K. Bradley, Michael I. Jordan
2014	J	`jnl`	When is it Better to Compare than to Score? CoRR Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
2013	—	`—`	Learning Large-Scale Conditional Random Fields. Joseph K. Bradley
2012	A	`conf`	Sample Complexity of Composite Likelihood. AISTATS Joseph K. Bradley, Carlos Guestrin
2011	J	`jnl`	Parallel Coordinate Descent for L1-Regularized Loss Minimization CoRR Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin
2011	A*	`conf`	Parallel Coordinate Descent for L1-Regularized Loss Minimization. ICML Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin
2010	A*	`conf`	Learning Tree Conditional Random Fields. ICML Joseph K. Bradley, Carlos Guestrin
2007	—	`conf`	FilterBoost: Regression and Classification on Large Datasets. NIPS Joseph K. Bradley, Robert E. Schapire