Nati Srebro, Professor

Machine learning
"Nati Srebro"
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Needell D, Srebro N, Ward R. (2016) Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm Mathematical Programming. 155: 549-573
Meshi O, Srebro N, Hazan T. (2015) Efficient training of structured SVMs via soft constraints Journal of Machine Learning Research. 38: 699-707
Wang J, Srebro N, Evans J. (2014) Active collaborative permutation learning Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 502-511
Shamir O, Srebro N. (2014) Distributed stochastic optimization and learning 2014 52nd Annual Allerton Conference On Communication, Control, and Computing, Allerton 2014. 850-857
Shamir O, Srebro N, Zhang T. (2014) Communication-efficient distributed optimization using an approximate Newton-type method 31st International Conference On Machine Learning, Icml 2014. 3: 2665-2681
Neyshabur B, Makarychev Y, Srebro N. (2014) Clustering, Hamming embedding, Generalized LSH the max norm Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8776: 306-320
Sabato S, Srebro N, Tishby N. (2013) Distribution-dependent sample complexity of large margin learning Journal of Machine Learning Research. 14: 2119-2149
Cotter A, Srebro N, Shalev-Shwartz S. (2013) Learning optimally sparse support vector machines 30th International Conference On Machine Learning, Icml 2013. 266-274
Sabato S, Sarwate AD, Srebro N. (2013) Auditing: Active learning with outcome-dependent query costs Advances in Neural Information Processing Systems
Neyshabur B, Yadollahpour P, Makarychev Y, et al. (2013) The power of asymmetry in binary hashing Advances in Neural Information Processing Systems
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