1. On approximation algorithms for data mining applications;Afrati,2006
2. Sharp analysis of low-rank kernel matrix approximations;Bach,2013
3. Rademacher and Gaussian complexities: Risk bounds and structural results;Bartlett;J. Mach. Learn. Res.,2002
4. Scaling up Machine Learning: Parallel and Distributed Approaches,2012
5. Distributed optimization and statistical learning via the alternating direction method of multipliers;Boyd;Found. Trends® Mach. Learn.,2011