Afshin Rostamizadeh, Ph.D.
Affiliations: | 2010 | Computer Science | New York University, New York, NY, United States |
Area:
Computer Science, Artificial IntelligenceGoogle:
"Afshin Rostamizadeh"Parents
Sign in to add mentorMehryar Mohri | grad student | 2010 | NYU | |
(Theoretical foundations and algorithms for learning with multiple kernels.) |
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Publications
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Choromanski K, Rostamizadeh A, Syed U. (2015) An optimal online algorithm for retrieving heavily perturbed statistical databases in the low-dimensional querying model International Conference On Information and Knowledge Management, Proceedings. 19: 1381-1390 |
Amin K, Rostamizadeh A, Syed U. (2014) Repeated contextual auctions with strategic buyers Advances in Neural Information Processing Systems. 1: 622-630 |
Cortes C, Mohri M, Rostamizadeh A. (2013) Multi-class classification with maximum margin multiple kernel 30th International Conference On Machine Learning, Icml 2013. 1083-1091 |
Amin K, Rostamizadeh A, Syed U. (2013) Learning prices for repeated auctions with strategic buyers Advances in Neural Information Processing Systems |
Cortes C, Mohri M, Rostamizadeh A. (2012) Algorithms for learning kernels based on centered alignment Journal of Machine Learning Research. 13: 795-828 |
Cortes C, Mohri M, Rostamizadeh A. (2011) Ensembles of kernel predictors Proceedings of the 27th Conference On Uncertainty in Artificial Intelligence, Uai 2011. 145-152 |
Rostamizadeh A, Agarwal A, Bartlett P. (2011) Learning with missing features Proceedings of the 27th Conference On Uncertainty in Artificial Intelligence, Uai 2011. 635-642 |
Cortes C, Mohri M, Rostamizadeh A. (2010) Generalization bounds for learning kernels Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 247-254 |
Cortes C, Mohri M, Rostamizadeh A. (2010) Two-stage learning kernel algorithms Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 239-246 |
Mohri M, Rostamizadeh A. (2010) Stability bounds for stationary φ-mixing and β-mixing processes Journal of Machine Learning Research. 11: 789-814 |