Afshin Rostamizadeh
He has worked on problems such as learning from noniid samples, learning from biased samples, learning from data with missing features and automatic kernel selection for kernelized algorithms such as SVM.
Google Publications

An optimal online algorithm for retrieving heavily perturbed statistical databases in the lowdimensional querying model
Krzysztof Choromanski, Afshin Rostamizadeh, Umar Syed
Proceedings of the TwentyFourth ACM International Conference on Information and Knowledge Management (CIKM 2015) (to appear)

Applying WebTables in Practice
Sreeram Balakrishnan, Alon Halevy, Boulos Harb, Hongrae Lee, Jayant Madhavan, Afshin Rostamizadeh, Warren Shen, Kenneth Wilder, Fei Wu, Cong Yu
Conference on Innovative Data Systems Research (2015)

Scalable and interpretable data representation for highdimensional complex data
Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie Shah
AAAI Conference on Artificial Intelligence (2015)

Corporate learning at scale: Lessons from a large online course at Google
Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong
Learning at Scale (2014)

Repeated Contextual Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh, Umar Syed
Advances in Neural Information Processing Systems (2014)

Theoretical Foundations for Learning Kernels in Supervised Kernel PCA
Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus
Modern Nonparametrics 3: Automating the Learning Pipeline, Neural Information Processing Systems, Workshop (2014)

Learning Prices for Repeated Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh, Umar Syed
Neural Information Processing Systems (2013)

Multiclass classification with maximum margin multiple kernel
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of the Thirtieth International Conference on Machine Learning (ICML 2013)

Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Journal of Machine Learning Research, vol. 13 (2012), pp. 795828

The Foundations of Machine Learning
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
MIT Press (2012)

Ensembles of Kernel Predictors
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011)

Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Journal of Machine Learning Research, vol. 13 (2010), pp. 795828

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

Foundations of Coupled Nonlinear Dimensionality Reduction
Dmitry Storcheus, Mehryar Mohri, Afshin Rostamizadeh
CoRR, vol. abs/1509.08880 (2015)

Perceptron Mistake Bounds
Mehryar Mohri, Afshin Rostamizadeh
CoRR, vol. abs/1305.0208 (2013)

Foundations of Machine Learning
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
MIT Press (2012), IXII, 1412

Learning with Missing Features
Afshin Rostamizadeh, Alekh Agarwal, Peter Bartett
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011)

Generalization Bounds for Learning Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of the 27th Annual International Conference on Machine Learning (ICML 2010)

Stability Bounds for Stationary $\phi$mixing and $\beta$mixing Processes
Mehryar Mohri, Afshin Rostamizadeh
Journal of Machine Learning Research (JMLR), vol. 11 (2010), pp. 798814

Stability Bounds for Stationary phimixing and betamixing Processes
Mehryar Mohri, Afshin Rostamizadeh
Journal of Machine Learning Research, vol. 11 (2010), pp. 789814

TwoStage Learning Kernel Algorithms
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of the 27th Annual International Conference on Machine Learning (ICML 2010)

Domain Adaptation with Multiple Sources
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
Advances in Neural Information Processing Systems (NIPS 2008), MIT Press, Vancouver, Canada (2009)

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

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

Learning nonlinear combinations of kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
NIPS 2009, Advances in Neural Information Processing Systems, MIT Press

Multiple Source Adaptation and the Rényi Divergence
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
UAI (2009), pp. 367374

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

Multiple Source Adaptation and the Renyi Divergence
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
UAI (2009), pp. 367374

New Generalization Bounds for Learning Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
CoRR, vol. abs/0912.3309 (2009)

Rademacher Complexity Bounds for NonI.I.D. Processes
Mehryar Mohri, Afshin Rostamizadeh
Advances in Neural Information Processing Systems (NIPS 2008), MIT Press, Vancouver, Canada (2009)

Learning sequence kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (2008)

Rademacher Complexity Bounds for NonI.I.D. Processes
Mehryar Mohri, Afshin Rostamizadeh
NIPS (2008), pp. 10971104

Stability Bound for Stationary Phimixing and Betamixing Processes
Mehryar Mohri, Afshin Rostamizadeh
CoRR, vol. abs/0811.1629 (2008)

Stability Bounds for Noni.i.d. Processes
Mehryar Mohri, Afshin Rostamizadeh
Advances in Neural Information Processing Systems (NIPS 2007), MIT Press, Vancouver, Canada (2008)