Nathan Srebro

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Ma C, Jaggi M, Curtis FE, et al. (2019) An accelerated communication-efficient primal-dual optimization framework for structured machine learning Optimization Methods & Software. 1-25
Wang J, Lee JD, Mahdavi M, et al. (2017) Sketching meets random projection in the dual: A provable recovery algorithm for big and high-dimensional data Electronic Journal of Statistics. 11: 4896-4944
Bijral AS, Sarwate AD, Srebro N. (2017) Data-Dependent Convergence for Consensus Stochastic Optimization Ieee Transactions On Automatic Control. 62: 4483-4498
Shalev-Shwartz S, Singer Y, Srebro N, et al. (2011) Pegasos: Primal estimated sub-gradient solver for SVM Mathematical Programming. 127: 3-30
Shalev-Shwartz S, Srebro N, Zhang T. (2010) Trading accuracy for sparsity in optimization problems with sparsity constraints Siam Journal On Optimization. 20: 2807-2832
Bar-Joseph Z, Demaine ED, Gifford DK, et al. (2003) K-ary clustering with optimal leaf ordering for gene expression data. Bioinformatics (Oxford, England). 19: 1070-8
Srebro N. (2003) Maximum likelihood bounded tree-width Markov networks Artificial Intelligence. 143: 123-138