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Books and Theses
- 2013
[b1]Joseph K. Bradley:
Learning Large-Scale Conditional Random Fields. Carnegie Mellon University, USA, 2013
Journal Articles
- 2016
- [j2]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:
MLlib: Machine Learning in Apache Spark. J. Mach. Learn. Res. 17: 34:1-34:7 (2016) - [j1]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: 58:1-58:47 (2016)
Conference and Workshop Papers
- 2016
- [c9]Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet Talwalkar:
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. NIPS 2016: 3810-3818 - 2015
- [c8]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 - [c7]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: 1383-1394 - 2014
- [c6]Xiao Li, Joseph Kurata Bradley, Sameer Pawar, Kannan Ramchandran:
The SPRIGHT algorithm for robust sparse Hadamard Transforms. ISIT 2014: 1857-1861 - [c5]Xinghao Pan, Stefanie Jegelka, Joseph E. Gonzalez, Joseph K. Bradley, Michael I. Jordan:
Parallel Double Greedy Submodular Maximization. NIPS 2014: 118-126 - 2012
- [c4]Joseph K. Bradley, Carlos Guestrin:
Sample Complexity of Composite Likelihood. AISTATS 2012: 136-160 - 2011
- [c3]Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin:
Parallel Coordinate Descent for L1-Regularized Loss Minimization. ICML 2011: 321-328 - 2010
- [c2]Joseph K. Bradley, Carlos Guestrin:
Learning Tree Conditional Random Fields. ICML 2010: 127-134 - 2007
- [c1]Joseph K. Bradley, Robert E. Schapire:
FilterBoost: Regression and Classification on Large Datasets. NIPS 2007: 185-192
Informal and Other Publications
- 2015
- [i5]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 abs/1505.01462 (2015) - [i4]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:
MLlib: Machine Learning in Apache Spark. CoRR abs/1505.06807 (2015) - [i3]Xiao Li, Joseph K. Bradley, Sameer Pawar, Kannan Ramchandran:
SPRIGHT: A Fast and Robust Framework for Sparse Walsh-Hadamard Transform. CoRR abs/1508.06336 (2015) - 2014
- [i2]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 abs/1406.6618 (2014) - 2011
- [i1]Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin:
Parallel Coordinate Descent for L1-Regularized Loss Minimization. CoRR abs/1105.5379 (2011)
Coauthor Index
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