Afshin Rostamizadeh
- Research Area(s)
- Artificial Intelligence and Machine Learning
Co-Authors
He has worked on problems such as learning from non-iid samples, learning from biased samples, learning from data with missing features and automatic kernel selection for kernelized algorithms such as SVM.
Google Publications
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Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Journal of Machine Learning Research, vol. 13 (2012), pp. 795-828
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The Foundations of Machine Learning
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
MIT Press (2012)
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Ensembles of Kernel Predictors
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011)
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Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Journal of Machine Learning Research, vol. 13 (2010), pp. 795-828
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Sample Selection Bias Correction Theory
Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh
Proceedings of The 19th International Conference on Algorithmic Learning Theory (ALT 2008), Springer, Heidelberg, Germany, Budapest, Hungary
Previous Publications
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Learning with missing Features
Afshin Rostamizadeh, Alekh Agarwal, Peter Bartett
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011)
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Generalization Bounds for Learning Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of the 27th Annual International Conference on Machine Learning (ICML 2010)
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Stability Bounds for Stationary $\phi$-mixing and $\beta$-mixing Processes
Mehryar Mohri, Afshin Rostamizadeh
Journal of Machine Learning Research (JMLR), vol. 11 (2010), pp. 798-814
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Two-Stage Learning Kernel Algorithms
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of the 27th Annual International Conference on Machine Learning (ICML 2010)
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Domain Adaptation with Multiple Sources
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
Advances in Neural Information Processing Systems (NIPS 2008), MIT Press, Vancouver, Canada (2009)
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Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of The 22nd Annual Conference on Learning Theory (COLT 2009), Omnipress, Montr\'eal, Canada
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L2 Regularization for Learning Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), Montr\'eal, Canada
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Learning non-linear combinations of kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
NIPS 2009, Advances in Neural Information Processing Systems, MIT Press
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Multiple Source Adaptation and the Renyi Divergence
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), Montr\'eal, Canada
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Multiple Source Adaptation and the Renyi Divergence
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
UAI (2009), pp. 367-374
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New Generalization Bounds for Learning Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
CoRR, vol. abs/0912.3309 (2009)
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Rademacher Complexity Bounds for Non-I.I.D. Processes
Mehryar Mohri, Afshin Rostamizadeh
Advances in Neural Information Processing Systems (NIPS 2008), MIT Press, Vancouver, Canada (2009)
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Learning sequence kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (2008)
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Rademacher Complexity Bounds for Non-I.I.D. Processes
Mehryar Mohri, Afshin Rostamizadeh
NIPS (2008), pp. 1097-1104
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Stability Bound for Stationary Phi-mixing and Beta-mixing Processes
Mehryar Mohri, Afshin Rostamizadeh
CoRR, vol. abs/0811.1629 (2008)
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Stability Bounds for Non-i.i.d. Processes
Mehryar Mohri, Afshin Rostamizadeh
Advances in Neural Information Processing Systems (NIPS 2007), MIT Press, Vancouver, Canada (2008)