Joseph K. Bradley

According to our database, Joseph K. Bradley authored at least 13 papers between 2007 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence.

Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright

J. Mach. Learn. Res., 2016

MLlib: Machine Learning in Apache Spark.

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

J. Mach. Learn. Res., 2016

Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale.

Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

SPRIGHT: A Fast and Robust Framework for Sparse Walsh-Hadamard Transform.

Xiao Li, Joseph K. Bradley, Sameer Pawar, Kannan Ramchandran

CoRR, 2015

Spark SQL: Relational Data Processing in Spark.

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

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

When is it Better to Compare than to Score?

Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright

CoRR, 2014

Parallel Double Greedy Submodular Maximization.

Xinghao Pan, Stefanie Jegelka, Joseph E. Gonzalez, Joseph K. Bradley, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

The SPRIGHT algorithm for robust sparse Hadamard Transforms.

Xiao Li, Joseph Kurata Bradley, Sameer Pawar, Kannan Ramchandran

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Learning Large-Scale Conditional Random Fields.

Joseph K. Bradley

PhD thesis, 2013

2012

Sample Complexity of Composite Likelihood.

Joseph K. Bradley, Carlos Guestrin

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Parallel Coordinate Descent for L1-Regularized Loss Minimization.

Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Learning Tree Conditional Random Fields.

Joseph K. Bradley, Carlos Guestrin

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2007

FilterBoost: Regression and Classification on Large Datasets.

Joseph K. Bradley, Robert E. Schapire

Proceedings of the Advances in Neural Information Processing Systems 20, 2007