Corinna Cortes is the Head of Google Research, NY, where she is working on a broad range of theoretical and applied large-scale machine learning problems. Prior to Google, Corinna spent more than ten years at AT&T Labs - Research, formerly AT&T Bell Labs, where she held a distinguished research position. Corinna's research work is well-known in particular for her contributions to the theoretical foundations of support vector machines (SVMs), for which she jointly with Vladimir Vapnik received the 2008 Paris Kanellakis Theory and Practice Award, and her work on data-mining in very large data sets for which she was awarded the AT&T Science and Technology Medal in the year 2000. Corinna received her MS degree in Physics from the Niels Bohr Institute in Copenhagen and joined AT&T Bell Labs as a researcher in 1989. She received her Ph.D. in computer science from the University of Rochester in 1993. Corinna is also a competitive runner, and a mother of two.
L2 Regularization for Learning Kernels, Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009).
A Machine Learning Framework for Spoken-Dialog Classification, Corinna Cortes, Patrick Haffner, Mehryar Mohri, Handbook on Speech Processing and Speech Communication, Part E: Speech recognition, 2008.
Kernel Methods for Learning Languages, Leonid Kontorovich, Corinna Cortes, Mehryar Mohri, Theoretical Computer Science, vol. 405 (2008), pp. 223-236.
Learning sequence kernels, Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh, Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, 2008.
Learning with weighted transducers, Corinna Cortes, Mehryar Mohri, Proceedings of the Seventh International Workshop Finite-State Methods and Natural Language Processing, 2008.
On the Computation of the Relative Entropy of Probabilistic Automata, Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley, International Journal of Foundations of Computer Science, vol. 19 (2008), pp. 219-242.
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).
Stability of Transductive Regression Algorithms, Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi, Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008).
Kernel Methods for Learning Languages, Leonid Kontorovich, Corinna Cortes, Mehryar Mohri, Theoretical Computer Science, vol. to appear (2007).
Lp Distance and Equivalence of Probabilistic Automata, Corinna Cortes, Mehryar Mohri, Ashish Rastogi, International Journal of Foundations of Computer Science, vol. 18 (2007).
Lp Distance and Equivalence of Probabilistic Automata, Corinna Cortes, Mehryar Mohri, Ashish Rastogi, International Journal of Foundations of Computer Science, vol. 18 (2007), pp. 761-780.
A General Regression Framework for Learning String-to-String Mappings, Corinna Cortes, Mehryar Mohri, Jason Weston, Predicting Structured Data, 2007.
A Machine Learning Framework for Spoken-Dialog Classification, Corinna Cortes, Patrick Haffner, Mehryar Mohri, Handbook on Speech Processing and Speech Communication, Part E: Speech recognition, 2007.
An Alternative Ranking Problem for Search Engines, Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Proceedings of the 6th Workshop on Experimental Algorithms (WEA 2007), pp. 1-21.
L_p Distance and Equivalence of Probabilistic Automata, Corinna Cortes, Mehryar Mohri, Ashish Rastogi, International Journal of Foundations of Computer Science, vol. to appear (2007).
Learning Languages with Rational Kernels, Corinna Cortes, Leonid Kontorovich, Mehryar Mohri, Proceedings of The 20th Annual Conference on Computational Learning Theory (COLT 2007).
Magnitude-Preserving Ranking Algorithms, Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Proceedings of the Twenty-fourth International Conference on Machine Learning (ICML 2007).
On Transductive Regression, Corinna Cortes, Mehryar Mohri, Advances in Neural Information Processing Systems (NIPS 2006), 2007.
On the Computation of the Relative Entropy of Probabilistic Automata, Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley, International Journal of Foundations of Computer Science, vol. to appear (2007).
Efficient Computation of the Relative Entropy of Probabilistic Automata, Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley, Proceedings of the 7th Latin American Symposium (LATIN 2006).
Learning Linearly Separable Languages, Leonid Kontorovich, Corinna Cortes, Mehryar Mohri, Proceedings of The 17th International Conference on Algorithmic Learning Theory (ALT 2006).
On the Computation of Some Standard Distances between Probabilistic Automata, Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Proceedings of the 11th International Conference on Implementation and Application of Automata (CIAA 2006).
Margin-Based Ranking Meets Boosting in the Middle, Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E. Schapire, Proc. of the 18th Annual Conference on Computational Learning Theory (COLT 2005), pp. 63-78.
A General Regression Technique for Learning Transductions, Corinna Cortes, Mehryar Mohri, Jason Weston, Proceedings of the Twenty-Second International Conference on Machine Learning (ICML 2005).
Confidence Intervals for the Area under the ROC Curve, Corinna Cortes, Mehryar Mohri, Advances in Neural Information Processing Systems (NIPS 2004), 2005.
Finite-State Transducers in Computational Biology, Corinna Cortes, Mehryar Mohri, Tutorial presented at the 13th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2005).
Margin-Based Ranking Meets Boosting in the Middle, Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E. Schapire, Proceedings of The 18th Annual Conference on Computational Learning Theory (COLT 2005), pp. 63-78.
Moment Kernels for Regular Distributions, Corinna Cortes, Mehryar Mohri, Machine Learning, vol. 60 (2005), pp. 117-134.
Distribution Kernels Based on Moments of Counts, Corinna Cortes, Mehryar Mohri, Proceedings of the Twenty-First International Conference on Machine Learning (ICML 2004).
Rational Kernels: Theory and Algorithms, Corinna Cortes, Patrick Haffner, Mehryar Mohri, Journal of Machine Learning Research (JMLR), vol. 5 (2004), pp. 1035-1062.
Hancock: A language for analyzing transactional data streams, Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers, Frederick Smith, ACM Trans. Program. Lang. Syst., vol. 26 (2004), pp. 301-338.
AUC Optimization vs. Error Rate Minimization, Corinna Cortes, Mehryar Mohri, Advances in Neural Information Processing Systems (NIPS 2003), 2004.
Positive Definite Rational Kernels, Corinna Cortes, Patrick Haffner, Mehryar Mohri, COLT, 2003, pp. 41-56.
Lattice Kernels for Spoken-Dialog Classification, Corinna Cortes, Patrick Haffner, Mehryar Mohri, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003).
Positive Definite Rational Kernels, Corinna Cortes, Patrick Haffner, Mehryar Mohri, Proceedings of The 16th Annual Conference on Computational Learning Theory (COLT 2003).
Rational Kernels, Corinna Cortes, Patrick Haffner, Mehryar Mohri, Advances in Neural Information Processing Systems (NIPS 2002), 2003.
Weighted Automata Kernels - General Framework and Algorithms, Corinna Cortes, Patrick Haffner, Mehryar Mohri, Proceedings of the 9th European Conference on Speech Communication and Technology (Eurospeech '03), Special Session Advanced Machine Learning Algorithms for Speech and Language Processing, 2003.
Communities of interest, Corinna Cortes, Daryl Pregibon, Chris Volinsky, Intell. Data Anal., vol. 6 (2002), pp. 211-219.
Rational Kernels, Corinna Cortes, Patrick Haffner, Mehryar Mohri, NIPS, 2002, pp. 601-608.
Communities of Interest, Corinna Cortes, Daryl Pregibon, Chris Volinsky, IDA, 2001, pp. 105-114.
Signature-Based Methods for Data Streams, Corinna Cortes, Daryl Pregibon, Data Min. Knowl. Discov., vol. 5 (2001), pp. 167-182.
Context-Free Recognition with Weighted Automata, Corinna Cortes, Mehryar Mohri, Grammars, vol. 3 (2000), pp. 133-150.
Hancock: a language for extracting signatures from data streams, Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers, KDD, 2000, pp. 9-17.
Information Mining Platforms: An Infrastructure for KDD Rapid Deployment, Corinna Cortes, Daryl Pregibon, KDD, 1999, pp. 327-331.
Squashing Flat Files Flatter, William DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, Daryl Pregibon, KDD, 1999, pp. 6-15.
Context-Free Recognition with Weighted Automata, Corinna Cortes, Mehryar Mohri, Proceedings of the Sixth Meeting on Mathematics of Language (MOL6), 1999.
Giga-Mining, Corinna Cortes, Daryl Pregibon, KDD, 1998, pp. 174-178.
Boosting Decision Trees, Harris Drucker, Corinna Cortes, NIPS, 1995, pp. 479-485.
Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates, Corinna Cortes, Harris Drucker, Dennis Hoover, Vladimir Vapnik, KDD, 1995, pp. 51-56.
Limits on Learning Machine Accuracy Imposed by Data Quality, Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang, KDD, 1995, pp. 57-62.
Support-Vector Networks, Corinna Cortes, Vladimir Vapnik, Machine Learning, vol. 20 (1995), pp. 273-297.
Boosting and Other Machine Learning Algorithms, Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik, ICML, 1994, pp. 53-61.
Limits in Learning Machine Accuracy Imposed by Data Quality, Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang, NIPS, 1994, pp. 239-246.
Learning Curves: Asymptotic Values and Rate of Convergence, Corinna Cortes, Lawrence D. Jackel, Sara A. Solla, Vladimir Vapnik, John S. Denker, NIPS, 1993, pp. 327-334.