Corinna Cortes

124 papers A* 38A 8B 7C 2Misc 1Journal 44Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Theoretical Framework for Modular Learning of Robust Generative Models. CoRR Corinna Cortes, Mehryar Mohri, Yutao Zhong
2025	A*	`conf`	Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data. ICML Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data. CoRR Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Improved Balanced Classification with Theoretically Grounded Loss Functions. CoRR Corinna Cortes, Mehryar Mohri, Yutao Zhong
2024	Misc	`conf`	A Theory of Learning with Competing Objectives and User Feedback. ISAIM Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri
2024	J	`jnl`	Best-effort adaptation. Ann. Math. Artif. Intell. Pranjal Awasthi, Corinna Cortes, Mehryar Mohri
2024	A*	`conf`	Cardinality-Aware Set Prediction and Top-$k$ Classification. NeurIPS Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Cardinality-Aware Set Prediction and Top-k Classification. CoRR Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	Differentially Private Domain Adaptation with Theoretical Guarantees. ICML Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri
2024	J	`jnl`	Theory and algorithms for learning with rejection in binary classification. Ann. Math. Artif. Intell. Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
2023	J	`jnl`	Best-Effort Adaptation. CoRR Pranjal Awasthi, Corinna Cortes, Mehryar Mohri
2023	J	`jnl`	Differentially Private Domain Adaptation with Theoretical Guarantees. CoRR Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri
2023	A	`conf`	Theory and Algorithm for Batch Distribution Drift Problems. AISTATS Pranjal Awasthi, Corinna Cortes, Christopher Mohri
2021	A*	`conf`	A Discriminative Technique for Multiple-Source Adaptation. ICML Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang
2021	A*	`conf`	Boosting with Multiple Sources. NeurIPS Corinna Cortes, Mehryar Mohri, Dmitry Storcheus, Ananda Theertha Suresh
2021	J	`jnl`	Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment. CoRR Corinna Cortes, Neil D. Lawrence
2021	A*	`conf`	Relative Deviation Margin Bounds. ICML Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh
2020	A*	`conf`	Adaptive Region-Based Active Learning. ICML Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2020	J	`jnl`	Adaptive Region-Based Active Learning. CoRR Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2020	A*	`conf`	Agnostic Learning with Multiple Objectives. NeurIPS Corinna Cortes, Mehryar Mohri, Javier Gonzalvo, Dmitry Storcheus
2020	J	`jnl`	Beyond Individual and Group Fairness. CoRR Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri
2020	J	`jnl`	Multiple-Source Adaptation with Domain Classifiers. CoRR Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang
2020	A*	`conf`	Online Learning with Dependent Stochastic Feedback Graphs. ICML Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2020	J	`jnl`	Relative Deviation Margin Bounds. CoRR Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh
2020	A	`conf`	Understanding the Effects of Batching in Online Active Learning. AISTATS Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh
2019	A*	`conf`	Active Learning with Disagreement Graphs. ICML Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile
2019	J	`jnl`	AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles. CoRR Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes
2019	J	`jnl`	Adaptation Based on Generalized Discrepancy. J. Mach. Learn. Res. Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina
2019	A*	`conf`	Learning GANs and Ensembles Using Discrepancy. NeurIPS Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang
2019	J	`jnl`	Learning GANs and Ensembles Using Discrepancy. CoRR Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang
2019	A*	`conf`	Online Learning with Sleeping Experts and Feedback Graphs. ICML Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
2019	B	`conf`	Online Non-Additive Path Learning under Full and Partial Information. ALT Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth
2019	A	`conf`	Region-Based Active Learning. AISTATS Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2019	A*	`conf`	Regularized Gradient Boosting. NeurIPS Corinna Cortes, Mehryar Mohri, Dmitry Storcheus
2019	J	`jnl`	Relative deviation learning bounds and generalization with unbounded loss functions. Ann. Math. Artif. Intell. Corinna Cortes, Spencer Greenberg, Mehryar Mohri
2018	A*	`conf`	Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses. NeurIPS Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Dmitry Storcheus, Scott Yang
2018	A*	`conf`	Online Learning with Abstention. ICML Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
2018	J	`jnl`	Online Non-Additive Path Learning under Full and Partial Information. CoRR Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth
2017	A*	`conf`	AdaNet: Adaptive Structural Learning of Artificial Neural Networks. ICML Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
2017	J	`jnl`	On-line Learning with Abstention. CoRR Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Scott Yang
2016	J	`jnl`	AdaNet: Adaptive Structural Learning of Artificial Neural Networks. CoRR Corinna Cortes, Xavi Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
2016	—	`conf`	Boosting with Abstention. NIPS Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
2016	—	`ch.`	Hancock: A Language for Analyzing Transactional Data Streams. Data Stream Management Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers, Frederick Smith
2016	B	`conf`	Learning with Rejection. ALT Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
2016	—	`conf`	Structured Prediction Theory Based on Factor Graph Complexity. NIPS Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
2016	J	`jnl`	Structured Prediction Theory and Voted Risk Minimization. CoRR Corinna Cortes, Mehryar Mohri, Vitaly Kuznetsov, Scott Yang
2015	A*	`conf`	Adaptation Algorithm and Theory Based on Generalized Discrepancy. KDD Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina
2015	—	`ed.`	Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada NIPS Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, Roman Garnett
2015	—	`conf`	Kernel Extraction via Voted Risk Minimization. FE@NIPS Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri
2015	A*	`conf`	On-Line Learning Algorithms for Path Experts with Non-Additive Losses. COLT Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Manfred K. Warmuth
2015	A*	`conf`	Structural Maxent Models. ICML Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
2015	J	`jnl`	Voted Kernel Regularization. CoRR Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri
2014	J	`jnl`	Adaptation Algorithm and Theory Based on Generalized Discrepancy. CoRR Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina
2014	—	`ed.`	Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada NIPS Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger
2014	A*	`conf`	Deep Boosting. ICML Corinna Cortes, Mehryar Mohri, Umar Syed
2014	J	`jnl`	Domain adaptation and sample bias correction theory and algorithm for regression. Theor. Comput. Sci. Corinna Cortes, Mehryar Mohri
2014	A*	`conf`	Ensemble Methods for Structured Prediction. ICML Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri
2014	—	`conf`	Learning Ensembles of Structured Prediction Rules. ACL (1) Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri
2013	—	`conf`	Learning Kernels Using Local Rademacher Complexity. NIPS Corinna Cortes, Marius Kloft, Mehryar Mohri
2013	—	`conf`	Multi-Class Classification with Maximum Margin Multiple Kernel. ICML (3) Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2013	J	`jnl`	Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions. CoRR Corinna Cortes, Spencer Greenberg, Mehryar Mohri
2012	—	`conf`	Accuracy at the Top. NIPS Stephen P. Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic
2012	J	`jnl`	Algorithms for Learning Kernels Based on Centered Alignment CoRR Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2012	J	`jnl`	Algorithms for Learning Kernels Based on Centered Alignment. J. Mach. Learn. Res. Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2012	J	`jnl`	Ensembles of Kernel Predictors CoRR Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2012	J	`jnl`	L2 Regularization for Learning Kernels CoRR Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2011	J	`jnl`	A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels. Int. J. Found. Comput. Sci. Cyril Allauzen, Corinna Cortes, Mehryar Mohri
2011	B	`conf`	Domain Adaptation in Regression. ALT Corinna Cortes, Mehryar Mohri
2011	A	`conf`	Ensembles of Kernel Predictors. UAI Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2010	A*	`conf`	Generalization Bounds for Learning Kernels. ICML Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2010	A	`conf`	Half Transductive Ranking. AISTATS Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri
2010	C	`conf`	Large-Scale Training of SVMs with Automata Kernels. CIAA Cyril Allauzen, Corinna Cortes, Mehryar Mohri
2010	—	`conf`	Learning Bounds for Importance Weighting. NIPS Corinna Cortes, Yishay Mansour, Mehryar Mohri
2010	A	`conf`	On the Impact of Kernel Approximation on Learning Accuracy. AISTATS Corinna Cortes, Mehryar Mohri, Ameet Talwalkar
2010	A*	`conf`	Two-Stage Learning Kernel Algorithms. ICML Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2009	A*	`conf`	Invited talk: Can learning kernels help performance? ICML Corinna Cortes
2009	A	`conf`	L2 Regularization for Learning Kernels. UAI Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2009	—	`conf`	Learning Non-Linear Combinations of Kernels. NIPS Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2009	J	`jnl`	New Generalization Bounds for Learning Kernels CoRR Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2009	—	`conf`	Polynomial Semantic Indexing. NIPS Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri
2009	J	`jnl`	Stability Analysis and Learning Bounds for Transductive Regression Algorithms CoRR Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi
2008	J	`jnl`	Kernel methods for learning languages. Theor. Comput. Sci. Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
2008	—	`conf`	Learning with Weighted Transducers. FSMNLP Corinna Cortes, Mehryar Mohri
2008	J	`jnl`	On the Computation of the Relative Entropy of Probabilistic Automata. Int. J. Found. Comput. Sci. Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley
2008	J	`jnl`	Sample Selection Bias Correction Theory CoRR Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh
2008	B	`conf`	Sample Selection Bias Correction Theory. ALT Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh
2008	A*	`conf`	Stability of transductive regression algorithms. ICML Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi
2007	—	`conf`	An Alternative Ranking Problem for Search Engines. WEA Corinna Cortes, Mehryar Mohri, Ashish Rastogi
2007	J	`jnl`	L Int. J. Found. Comput. Sci. Corinna Cortes, Mehryar Mohri, Ashish Rastogi
2007	A*	`conf`	Learning Languages with Rational Kernels. COLT Corinna Cortes, Leonid Kontorovich, Mehryar Mohri
2007	A*	`conf`	Magnitude-preserving ranking algorithms. ICML Corinna Cortes, Mehryar Mohri, Ashish Rastogi
2006	B	`conf`	Efficient Computation of the Relative Entropy of Probabilistic Automata. LATIN Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley
2006	B	`conf`	Learning Linearly Separable Languages. ALT Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
2006	—	`conf`	On Transductive Regression. NIPS Corinna Cortes, Mehryar Mohri
2006	C	`conf`	On the Computation of Some Standard Distances Between Probabilistic Automata. CIAA Corinna Cortes, Mehryar Mohri, Ashish Rastogi
2005	A*	`conf`	A general regression technique for learning transductions. ICML Corinna Cortes, Mehryar Mohri, Jason Weston
2005	A*	`conf`	Margin-Based Ranking Meets Boosting in the Middle. COLT Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E. Schapire
2005	J	`jnl`	Moment Kernels for Regular Distributions. Mach. Learn. Corinna Cortes, Mehryar Mohri
2004	—	`conf`	Confidence Intervals for the Area Under the ROC Curve. NIPS Corinna Cortes, Mehryar Mohri
2004	A*	`conf`	Distribution kernels based on moments of counts. ICML Corinna Cortes, Mehryar Mohri
2004	J	`jnl`	Hancock: A language for analyzing transactional data streams. ACM Trans. Program. Lang. Syst. Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers, Frederick Smith
2004	J	`jnl`	Rational Kernels: Theory and Algorithms. J. Mach. Learn. Res. Corinna Cortes, Patrick Haffner, Mehryar Mohri
2003	—	`conf`	AUC Optimization vs. Error Rate Minimization. NIPS Corinna Cortes, Mehryar Mohri
2003	—	`conf`	Lattice kernels for spoken-dialog classification. ICASSP (1) Corinna Cortes, Patrick Haffner, Mehryar Mohri
2003	A*	`conf`	Positive Definite Rational Kernels. COLT Corinna Cortes, Patrick Haffner, Mehryar Mohri
2003	A	`conf`	Weighted automata kernels - general framework and algorithms. INTERSPEECH Corinna Cortes, Patrick Haffner, Mehryar Mohri
2002	J	`jnl`	Communities of interest. Intell. Data Anal. Corinna Cortes, Daryl Pregibon, Chris Volinsky
2002	—	`conf`	Rational Kernels. NIPS Corinna Cortes, Patrick Haffner, Mehryar Mohri
2001	B	`conf`	Communities of Interest. IDA Corinna Cortes, Daryl Pregibon, Chris Volinsky
2001	J	`jnl`	Signature-Based Methods for Data Streams. Data Min. Knowl. Discov. Corinna Cortes, Daryl Pregibon
2000	J	`jnl`	Context-Free Recognition with Weighted Automata. Grammars Corinna Cortes, Mehryar Mohri
2000	A*	`conf`	Hancock: a language for extracting signatures from data streams. KDD Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers
1999	A*	`conf`	Information Mining Platforms: An Infrastructure for KDD Rapid Deployment. KDD Corinna Cortes, Daryl Pregibon
1999	A*	`conf`	Squashing Flat Files Flatter. KDD William DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, Daryl Pregibon
1998	A*	`conf`	Giga-Mining. KDD Corinna Cortes, Daryl Pregibon
1995	—	`conf`	Boosting Decision Trees. NIPS Harris Drucker, Corinna Cortes
1995	A*	`conf`	Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates. KDD Corinna Cortes, Harris Drucker, Dennis Hoover, Vladimir Vapnik
1995	A*	`conf`	Limits on Learning Machine Accuracy Imposed by Data Quality. KDD Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang
1995	J	`jnl`	Support-Vector Networks. Mach. Learn. Corinna Cortes, Vladimir Vapnik
1994	J	`jnl`	Boosting and Other Ensemble Methods. Neural Comput. Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik
1994	A*	`conf`	Boosting and Other Machine Learning Algorithms. ICML Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik
1994	—	`conf`	Comparison of classifier methods: a case study in handwritten digit recognition. ICPR (2) 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
1994	—	`conf`	Limits in Learning Machine Accuracy Imposed by Data Quality. NIPS Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang
1993	—	`conf`	Learning Curves: Asymptotic Values and Rate of Convergence. NIPS Corinna Cortes, Lawrence D. Jackel, Sara A. Solla, Vladimir Vapnik, John S. Denker