Ohad Shamir, Ph.D
Affiliations: | Microsoft Research, Redmond, WA, United States |
Area:
Machine LearningGoogle:
"Ohad Shamir"Mean distance: 17.18 (cluster 17) | S | N | B | C | P |
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Publications
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Shamir O, Shalev-Shwartz S. (2015) Matrix completion with the trace norm: Learning, bounding, and transducing Journal of Machine Learning Research. 15: 3401-3423 |
Fetaya E, Shamir O, Ullman S. (2015) Graph approximation and clustering on a budget Journal of Machine Learning Research. 38: 241-249 |
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 |
Shamir O. (2014) Fundamental limits of online and distributed algorithms for statistical learning and estimation Advances in Neural Information Processing Systems. 1: 163-171 |
Livni R, Shalev-Shwartz S, Shamir O. (2014) On the computational efficiency of training neural networks Advances in Neural Information Processing Systems. 1: 855-863 |
Amir A, Zeisel A, Zuk O, et al. (2013) High-resolution microbial community reconstruction by integrating short reads from multiple 16S rRNA regions. Nucleic Acids Research. 41: e205 |
Liu B, Sadeghi F, Tappen M, et al. (2013) Probabilistic label trees for efficient large scale image classification Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 843-850 |
Cesa-Bianchi N, Shamir O. (2013) Efficient transductive online learning via randomized rounding Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik. 177-194 |
Zuk O, Amir A, Zeisel A, et al. (2013) Accurate profiling of microbial communities from massively parallel sequencing using convex optimization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8214: 279-297 |