Corinna Cortes

According to our database, Corinna Cortes authored at least 99 papers between 1993 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Differentially Private Domain Adaptation with Theoretical Guarantees.

Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri

CoRR, 2023

Best-Effort Adaptation.

Pranjal Awasthi, Corinna Cortes, Mehryar Mohri

CoRR, 2023

Theory and Algorithm for Batch Distribution Drift Problems.

Pranjal Awasthi, Corinna Cortes, Christopher Mohri

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment.

Corinna Cortes, Neil D. Lawrence

CoRR, 2021

Boosting with Multiple Sources.

Corinna Cortes, Mehryar Mohri, Dmitry Storcheus, Ananda Theertha Suresh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Discriminative Technique for Multiple-Source Adaptation.

Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

Relative Deviation Margin Bounds.

Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Multiple-Source Adaptation with Domain Classifiers.

Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang

CoRR, 2020

Beyond Individual and Group Fairness.

Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri

CoRR, 2020

Agnostic Learning with Multiple Objectives.

Corinna Cortes, Mehryar Mohri, Javier Gonzalvo, Dmitry Storcheus

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Learning with Dependent Stochastic Feedback Graphs.

Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

Adaptive Region-Based Active Learning.

Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding the Effects of Batching in Online Active Learning.

Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Adaptation Based on Generalized Discrepancy.

Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina

J. Mach. Learn. Res., 2019

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles.

Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes

CoRR, 2019

Relative deviation learning bounds and generalization with unbounded loss functions.

Corinna Cortes, Spencer Greenberg, Mehryar Mohri

Ann. Math. Artif. Intell., 2019

Regularized Gradient Boosting.

Corinna Cortes, Mehryar Mohri, Dmitry Storcheus

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning GANs and Ensembles Using Discrepancy.

Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Active Learning with Disagreement Graphs.

Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile

Proceedings of the 36th International Conference on Machine Learning, 2019

Online Learning with Sleeping Experts and Feedback Graphs.

Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang

Proceedings of the 36th International Conference on Machine Learning, 2019

Online Non-Additive Path Learning under Full and Partial Information.

Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth

Proceedings of the Algorithmic Learning Theory, 2019

Region-Based Active Learning.

Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses.

Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Dmitry Storcheus, Scott Yang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Online Learning with Abstention.

Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

On-line Learning with Abstention.

Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Scott Yang

CoRR, 2017

AdaNet: Adaptive Structural Learning of Artificial Neural Networks.

Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Structured Prediction Theory and Voted Risk Minimization.

Corinna Cortes, Mehryar Mohri, Vitaly Kuznetsov, Scott Yang

CoRR, 2016

Structured Prediction Theory Based on Factor Graph Complexity.

Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Boosting with Abstention.

Corinna Cortes, Giulia DeSalvo, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning with Rejection.

Corinna Cortes, Giulia DeSalvo, Mehryar Mohri

Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

Hancock: A Language for Analyzing Transactional Data Streams.

Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers, Frederick Smith

Proceedings of the Data Stream Management - Processing High-Speed Data Streams, 2016

2015

Voted Kernel Regularization.

Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri

CoRR, 2015

Kernel Extraction via Voted Risk Minimization.

Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Adaptation Algorithm and Theory Based on Generalized Discrepancy.

Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Structural Maxent Models.

Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed

Proceedings of the 32nd International Conference on Machine Learning, 2015

On-Line Learning Algorithms for Path Experts with Non-Additive Losses.

Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Manfred K. Warmuth

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Domain adaptation and sample bias correction theory and algorithm for regression.

Corinna Cortes, Mehryar Mohri

Theor. Comput. Sci., 2014

Deep Boosting.

Corinna Cortes, Mehryar Mohri, Umar Syed

Proceedings of the 31th International Conference on Machine Learning, 2014

Ensemble Methods for Structured Prediction.

Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri

Proceedings of the 31th International Conference on Machine Learning, 2014

Learning Ensembles of Structured Prediction Rules.

Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Learning Kernels Using Local Rademacher Complexity.

Corinna Cortes, Marius Kloft, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Multi-Class Classification with Maximum Margin Multiple Kernel.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Algorithms for Learning Kernels Based on Centered Alignment.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

J. Mach. Learn. Res., 2012

Accuracy at the Top.

Stephen P. Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels.

Cyril Allauzen, Corinna Cortes, Mehryar Mohri

Int. J. Found. Comput. Sci., 2011

Ensembles of Kernel Predictors.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the UAI 2011, 2011

Domain Adaptation in Regression.

Corinna Cortes, Mehryar Mohri

Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010

On the Impact of Kernel Approximation on Learning Accuracy.

Corinna Cortes, Mehryar Mohri, Ameet Talwalkar

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Half Transductive Ranking.

Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Large-Scale Training of SVMs with Automata Kernels.

Cyril Allauzen, Corinna Cortes, Mehryar Mohri

Proceedings of the Implementation and Application of Automata, 2010

Learning Bounds for Importance Weighting.

Corinna Cortes, Yishay Mansour, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Generalization Bounds for Learning Kernels.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Two-Stage Learning Kernel Algorithms.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

New Generalization Bounds for Learning Kernels

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

CoRR, 2009

Stability Analysis and Learning Bounds for Transductive Regression Algorithms

Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi

CoRR, 2009

L2 Regularization for Learning Kernels.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the UAI 2009, 2009

Learning Non-Linear Combinations of Kernels.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Polynomial Semantic Indexing.

Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Invited talk: Can learning kernels help performance?

Corinna Cortes

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Kernel methods for learning languages.

Leonid Kontorovich, Corinna Cortes, Mehryar Mohri

Theor. Comput. Sci., 2008

On the Computation of the Relative Entropy of Probabilistic Automata.

Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley

Int. J. Found. Comput. Sci., 2008

Stability of transductive regression algorithms.

Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi

Proceedings of the Machine Learning, 2008

Learning with Weighted Transducers.

Corinna Cortes, Mehryar Mohri

Proceedings of the Finite-State Methods and Natural Language Processing, 2008

Sample Selection Bias Correction Theory.

Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh

Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

2007

L_P Distance and Equivalence of Probabilistic Automata.

Corinna Cortes, Mehryar Mohri, Ashish Rastogi

Int. J. Found. Comput. Sci., 2007

An Alternative Ranking Problem for Search Engines.

Corinna Cortes, Mehryar Mohri, Ashish Rastogi

Proceedings of the Experimental Algorithms, 6th International Workshop, 2007

Magnitude-preserving ranking algorithms.

Corinna Cortes, Mehryar Mohri, Ashish Rastogi

Proceedings of the Machine Learning, 2007

Learning Languages with Rational Kernels.

Corinna Cortes, Leonid Kontorovich, Mehryar Mohri

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

On the Computation of Some Standard Distances Between Probabilistic Automata.

Corinna Cortes, Mehryar Mohri, Ashish Rastogi

Proceedings of the Implementation and Application of Automata, 2006

On Transductive Regression.

Corinna Cortes, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Efficient Computation of the Relative Entropy of Probabilistic Automata.

Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley

Proceedings of the LATIN 2006: Theoretical Informatics, 2006

Learning Linearly Separable Languages.

Leonid Kontorovich, Corinna Cortes, Mehryar Mohri

Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006

2005

Moment Kernels for Regular Distributions.

Corinna Cortes, Mehryar Mohri

Mach. Learn., 2005

A general regression technique for learning transductions.

Corinna Cortes, Mehryar Mohri, Jason Weston

Proceedings of the Machine Learning, 2005

Margin-Based Ranking Meets Boosting in the Middle.

Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E. Schapire

Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2004

Hancock: A language for analyzing transactional data streams.

Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers, Frederick Smith

ACM Trans. Program. Lang. Syst., 2004

Rational Kernels: Theory and Algorithms.

Corinna Cortes, Patrick Haffner, Mehryar Mohri

J. Mach. Learn. Res., 2004

Confidence Intervals for the Area Under the ROC Curve.

Corinna Cortes, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Distribution kernels based on moments of counts.

Corinna Cortes, Mehryar Mohri

Proceedings of the Machine Learning, 2004

2003

AUC Optimization vs. Error Rate Minimization.

Corinna Cortes, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Weighted automata kernels - general framework and algorithms.

Corinna Cortes, Patrick Haffner, Mehryar Mohri

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Lattice kernels for spoken-dialog classification.

Corinna Cortes, Patrick Haffner, Mehryar Mohri

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Positive Definite Rational Kernels.

Corinna Cortes, Patrick Haffner, Mehryar Mohri

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

Communities of interest.

Corinna Cortes, Daryl Pregibon, Chris Volinsky

Intell. Data Anal., 2002

Rational Kernels.

Corinna Cortes, Patrick Haffner, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Signature-Based Methods for Data Streams.

Corinna Cortes, Daryl Pregibon

Data Min. Knowl. Discov., 2001

2000

Context-Free Recognition with Weighted Automata.

Corinna Cortes, Mehryar Mohri

Grammars, 2000

Hancock: a language for extracting signatures from data streams.

Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999

Squashing Flat Files Flatter.

William DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, Daryl Pregibon

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Information Mining Platforms: An Infrastructure for KDD Rapid Deployment.

Corinna Cortes, Daryl Pregibon

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998

Giga-Mining.

Corinna Cortes, Daryl Pregibon

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1995

Support-Vector Networks.

Corinna Cortes, Vladimir Vapnik

Mach. Learn., 1995

Boosting Decision Trees.

Harris Drucker, Corinna Cortes

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Limits on Learning Machine Accuracy Imposed by Data Quality.

Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang

Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates.

Corinna Cortes, Harris Drucker, Dennis Hoover, Vladimir Vapnik

Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

1994

Boosting and Other Ensemble Methods.

Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik

Neural Comput., 1994

Comparison of classifier methods: a case study in handwritten digit recognition.

Léon Bottou, Corinna Cortes, John S. Denker, Harris Drucker, Isabelle Guyon, Larry D. Jackel, Yann LeCun, Urs A. Müller, Eduard Säckinger, Patrice Y. Simard, Vladimir Vapnik

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Boosting and Other Machine Learning Algorithms.

Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik

Proceedings of the Machine Learning, 1994

1993

Learning Curves: Asymptotic Values and Rate of Convergence.

Corinna Cortes, Lawrence D. Jackel, Sara A. Solla, Vladimir Vapnik, John S. Denker

Proceedings of the Advances in Neural Information Processing Systems 6, 1993