Corinna Cortes
According to our database^{1},
Corinna Cortes
authored at least 79 papers
between 1993 and 2019.
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Bibliography
2019
Adaptation Based on Generalized Discrepancy.
J. Mach. Learn. Res., 2019
Relative deviation learning bounds and generalization with unbounded loss functions.
Ann. Math. Artif. Intell., 2019
Active Learning with Disagreement Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019
Online Learning with Sleeping Experts and Feedback Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019
Online NonAdditive Path Learning under Full and Partial Information.
Proceedings of the Algorithmic Learning Theory, 2019
RegionBased Active Learning.
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.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Online Learning with Abstention.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
AdaNet: Adaptive Structural Learning of Artificial Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Structured Prediction Theory Based on Factor Graph Complexity.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Boosting with Abstention.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Learning with Rejection.
Proceedings of the Algorithmic Learning Theory  27th International Conference, 2016
Hancock: A Language for Analyzing Transactional Data Streams.
Proceedings of the Data Stream Management  Processing HighSpeed Data Streams, 2016
2015
Kernel Extraction via Voted Risk Minimization.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015
Adaptation Algorithm and Theory Based on Generalized Discrepancy.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Structural Maxent Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015
OnLine Learning Algorithms for Path Experts with NonAdditive Losses.
Proceedings of The 28th Conference on Learning Theory, 2015
2014
Domain adaptation and sample bias correction theory and algorithm for regression.
Theor. Comput. Sci., 2014
Deep Boosting.
Proceedings of the 31th International Conference on Machine Learning, 2014
Ensemble Methods for Structured Prediction.
Proceedings of the 31th International Conference on Machine Learning, 2014
Learning Ensembles of Structured Prediction Rules.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
Learning Kernels Using Local Rademacher Complexity.
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 58, 2013
MultiClass Classification with Maximum Margin Multiple Kernel.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Algorithms for Learning Kernels Based on Centered Alignment.
J. Mach. Learn. Res., 2012
Accuracy at the Top.
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 36, 2012
2011
A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels.
Int. J. Found. Comput. Sci., 2011
Ensembles of Kernel Predictors.
Proceedings of the UAI 2011, 2011
Domain Adaptation in Regression.
Proceedings of the Algorithmic Learning Theory  22nd International Conference, 2011
2010
On the Impact of Kernel Approximation on Learning Accuracy.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Half Transductive Ranking.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
LargeScale Training of SVMs with Automata Kernels.
Proceedings of the Implementation and Application of Automata, 2010
Learning Bounds for Importance Weighting.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 69 December 2010, 2010
Generalization Bounds for Learning Kernels.
Proceedings of the 27th International Conference on Machine Learning (ICML10), 2010
TwoStage Learning Kernel Algorithms.
Proceedings of the 27th International Conference on Machine Learning (ICML10), 2010
2009
L2 Regularization for Learning Kernels.
Proceedings of the UAI 2009, 2009
Learning NonLinear Combinations of Kernels.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
Polynomial Semantic Indexing.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
Invited talk: Can learning kernels help performance?
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
Kernel methods for learning languages.
Theor. Comput. Sci., 2008
On the Computation of the Relative Entropy of Probabilistic Automata.
Int. J. Found. Comput. Sci., 2008
Stability of transductive regression algorithms.
Proceedings of the Machine Learning, 2008
Learning with Weighted Transducers.
Proceedings of the FiniteState Methods and Natural Language Processing, 2008
Sample Selection Bias Correction Theory.
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008
2007
L_{P} Distance and Equivalence of Probabilistic Automata.
Int. J. Found. Comput. Sci., 2007
An Alternative Ranking Problem for Search Engines.
Proceedings of the Experimental Algorithms, 6th International Workshop, 2007
Magnitudepreserving ranking algorithms.
Proceedings of the Machine Learning, 2007
Learning Languages with Rational Kernels.
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
2006
On the Computation of Some Standard Distances Between Probabilistic Automata.
Proceedings of the Implementation and Application of Automata, 2006
On Transductive Regression.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Efficient Computation of the Relative Entropy of Probabilistic Automata.
Proceedings of the LATIN 2006: Theoretical Informatics, 2006
Learning Linearly Separable Languages.
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006
2005
Moment Kernels for Regular Distributions.
Machine Learning, 2005
A general regression technique for learning transductions.
Proceedings of the Machine Learning, 2005
MarginBased Ranking Meets Boosting in the Middle.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
2004
Hancock: A language for analyzing transactional data streams.
ACM Trans. Program. Lang. Syst., 2004
Rational Kernels: Theory and Algorithms.
J. Mach. Learn. Res., 2004
Confidence Intervals for the Area Under the ROC Curve.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Distribution kernels based on moments of counts.
Proceedings of the Machine Learning, 2004
2003
AUC Optimization vs. Error Rate Minimization.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Weighted automata kernels  general framework and algorithms.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Lattice kernels for spokendialog classification.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Positive Definite Rational Kernels.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
2002
Rational Kernels.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
2001
SignatureBased Methods for Data Streams.
Data Min. Knowl. Discov., 2001
Communities of Interest.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001
2000
ContextFree Recognition with Weighted Automata.
Grammars, 2000
Hancock: a language for extracting signatures from data streams.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
1999
Squashing Flat Files Flatter.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999
Information Mining Platforms: An Infrastructure for KDD Rapid Deployment.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999
1998
GigaMining.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD98), 1998
1995
SupportVector Networks.
Machine Learning, 1995
Boosting Decision Trees.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Limits on Learning Machine Accuracy Imposed by Data Quality.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD95), 1995
Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD95), 1995
1994
Boosting and Other Ensemble Methods.
Neural Computation, 1994
Limits in Learning Machine Accuracy Imposed by Data Quality.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994
Comparison of classifier methods: a case study in handwritten digit recognition.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994
Boosting and Other Machine Learning Algorithms.
Proceedings of the Machine Learning, 1994
1993
Learning Curves: Asymptotic Values and Rate of Convergence.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993