Learning Curves: Asymptotic Values and Rate of Convergence. - Corinna Cortes; Lawrence D. Jackel; Sara A. Solla; Vladimir Vapnik; John S. Denker (NIPS, 1993)

Boosting and Other Machine Learning Algorithms. - Harris Drucker; Corinna Cortes; Lawrence D. Jackel; Yann LeCun; Vladimir Vapnik (ICML, 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 (ICPR (2), 1994)

Limits in Learning Machine Accuracy Imposed by Data Quality. - Corinna Cortes; Lawrence D. Jackel; Wan-Ping Chiang (NIPS, 1994)

Boosting and Other Ensemble Methods. - Harris Drucker; Corinna Cortes; Lawrence D. Jackel; Yann LeCun; Vladimir Vapnik (Neural Comput., 1994)

Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates. - Corinna Cortes; Harris Drucker; Dennis Hoover; Vladimir Vapnik (KDD, 1995)

Boosting Decision Trees. - Harris Drucker; Corinna Cortes (NIPS, 1995)

Support-Vector Networks. - Corinna Cortes; Vladimir Vapnik (Mach. Learn., 1995)

Giga-Mining. - Corinna Cortes; Daryl Pregibon (KDD, 1998)

Information Mining Platforms: An Infrastructure for KDD Rapid Deployment. - Corinna Cortes; Daryl Pregibon (KDD, 1999)

Squashing Flat Files Flatter. - William DuMouchel; Chris Volinsky; Theodore Johnson; Corinna Cortes; Daryl Pregibon (KDD, 1999)

Hancock: a language for extracting signatures from data streams. - Corinna Cortes; Kathleen Fisher; Daryl Pregibon; Anne Rogers (KDD, 2000)

Context-Free Recognition with Weighted Automata. - Corinna Cortes; Mehryar Mohri (Grammars, 2000)

Signature-Based Methods for Data Streams. - Corinna Cortes; Daryl Pregibon (Data Min. Knowl. Discov., 2001)

Rational Kernels. - Corinna Cortes; Patrick Haffner; Mehryar Mohri (NIPS, 2002)

Communities of interest. - Corinna Cortes; Daryl Pregibon; Chris Volinsky (Intell. Data Anal., 2002)

Positive Definite Rational Kernels. - Corinna Cortes; Patrick Haffner; Mehryar Mohri (COLT, 2003)

Lattice kernels for spoken-dialog classification. - Corinna Cortes; Patrick Haffner; Mehryar Mohri (ICASSP (1), 2003)

Weighted automata kernels - general framework and algorithms. - Corinna Cortes; Patrick Haffner; Mehryar Mohri (INTERSPEECH, 2003)

AUC Optimization vs. Error Rate Minimization. - Corinna Cortes; Mehryar Mohri (NIPS, 2003)

Distribution kernels based on moments of counts. - Corinna Cortes; Mehryar Mohri (ICML, 2004)

Confidence Intervals for the Area Under the ROC Curve. - Corinna Cortes; Mehryar Mohri (NIPS, 2004)

Rational Kernels: Theory and Algorithms. - Corinna Cortes; Patrick Haffner; Mehryar Mohri (J. Mach. Learn. Res., 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)

Margin-Based Ranking Meets Boosting in the Middle. - Cynthia Rudin; Corinna Cortes; Mehryar Mohri; Robert E. Schapire (COLT, 2005)

A general regression technique for learning transductions. - Corinna Cortes; Mehryar Mohri; Jason Weston (ICML, 2005)

Moment Kernels for Regular Distributions. - Corinna Cortes; Mehryar Mohri (Mach. Learn., 2005)

Learning Linearly Separable Languages. - Leonid Kontorovich; Corinna Cortes; Mehryar Mohri (ALT, 2006)

Efficient Computation of the Relative Entropy of Probabilistic Automata. - Corinna Cortes; Mehryar Mohri; Ashish Rastogi; Michael Riley 001 (LATIN, 2006)

On Transductive Regression. - Corinna Cortes; Mehryar Mohri (NIPS, 2006)

On the Computation of Some Standard Distances Between Probabilistic Automata. - Corinna Cortes; Mehryar Mohri; Ashish Rastogi (CIAA, 2006)

Learning Languages with Rational Kernels. - Corinna Cortes; Leonid Kontorovich; Mehryar Mohri (COLT, 2007)

Magnitude-preserving ranking algorithms. - Corinna Cortes; Mehryar Mohri; Ashish Rastogi (ICML, 2007)

An Alternative Ranking Problem for Search Engines. - Corinna Cortes; Mehryar Mohri; Ashish Rastogi (WEA, 2007)

LP Distance and Equivalence of Probabilistic Automata. - Corinna Cortes; Mehryar Mohri; Ashish Rastogi (Int. J. Found. Comput. Sci., 2007)

Sample Selection Bias Correction Theory. - Corinna Cortes; Mehryar Mohri; Michael Riley 001; Afshin Rostamizadeh (ALT, 2008)

Learning with Weighted Transducers. - Corinna Cortes; Mehryar Mohri (FSMNLP, 2008)

Stability of transductive regression algorithms. - Corinna Cortes; Mehryar Mohri; Dmitry Pechyony; Ashish Rastogi (ICML, 2008)

On the Computation of the Relative Entropy of Probabilistic Automata. - Corinna Cortes; Mehryar Mohri; Ashish Rastogi; Michael Riley 001 (Int. J. Found. Comput. Sci., 2008)

Kernel methods for learning languages. - Leonid Kontorovich; Corinna Cortes; Mehryar Mohri (Theor. Comput. Sci., 2008)

Invited talk: Can learning kernels help performance? - Corinna Cortes (ICML, 2009)

Polynomial Semantic Indexing. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Kunihiko Sadamasa; Yanjun Qi; Corinna Cortes; Mehryar Mohri (NIPS, 2009)

Learning Non-Linear Combinations of Kernels. - Corinna Cortes; Mehryar Mohri; Afshin Rostamizadeh (NIPS, 2009)

L2 Regularization for Learning Kernels. - Corinna Cortes; Mehryar Mohri; Afshin Rostamizadeh (UAI, 2009)

Stability Analysis and Learning Bounds for Transductive Regression Algorithms - Corinna Cortes; Mehryar Mohri; Dmitry Pechyony; Ashish Rastogi (CoRR, 2009)

New Generalization Bounds for Learning Kernels - Corinna Cortes; Mehryar Mohri; Afshin Rostamizadeh (CoRR, 2009)

Two-Stage Learning Kernel Algorithms. - Corinna Cortes; Mehryar Mohri; Afshin Rostamizadeh (ICML, 2010)

Generalization Bounds for Learning Kernels. - Corinna Cortes; Mehryar Mohri; Afshin Rostamizadeh (ICML, 2010)

Learning Bounds for Importance Weighting. - Corinna Cortes; Yishay Mansour; Mehryar Mohri (NIPS, 2010)

Large-Scale Training of SVMs with Automata Kernels. - Cyril Allauzen; Corinna Cortes; Mehryar Mohri (CIAA, 2010)

Half Transductive Ranking. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Corinna Cortes; Mehryar Mohri (AISTATS, 2010)

On the Impact of Kernel Approximation on Learning Accuracy. - Corinna Cortes; Mehryar Mohri; Ameet Talwalkar (AISTATS, 2010)

Domain Adaptation in Regression. - Corinna Cortes; Mehryar Mohri (ALT, 2011)

Ensembles of Kernel Predictors. - Corinna Cortes; Mehryar Mohri; Afshin Rostamizadeh (UAI, 2011)

A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels. - Cyril Allauzen; Corinna Cortes; Mehryar Mohri (Int. J. Found. Comput. Sci., 2011)

Accuracy at the Top. - Stephen P. Boyd; Corinna Cortes; Mehryar Mohri; Ana Radovanovic (NIPS, 2012)

Algorithms for Learning Kernels Based on Centered Alignment. - Corinna Cortes; Mehryar Mohri; Afshin Rostamizadeh (J. Mach. Learn. Res., 2012)

Multi-Class Classification with Maximum Margin Multiple Kernel. - Corinna Cortes; Mehryar Mohri; Afshin Rostamizadeh (ICML (3), 2013)

Learning Kernels Using Local Rademacher Complexity. - Corinna Cortes; Marius Kloft; Mehryar Mohri (NIPS, 2013)

Learning Ensembles of Structured Prediction Rules. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri (ACL (1), 2014)

Ensemble Methods for Structured Prediction. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri (ICML, 2014)

Deep Boosting. - Corinna Cortes; Mehryar Mohri; Umar Syed (ICML, 2014)

Domain adaptation and sample bias correction theory and algorithm for regression. - Corinna Cortes; Mehryar Mohri (Theor. Comput. Sci., 2014)

On-Line Learning Algorithms for Path Experts with Non-Additive Losses. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Manfred K. Warmuth (COLT, 2015)

Structural Maxent Models. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Umar Syed (ICML, 2015)

Adaptation Algorithm and Theory Based on Generalized Discrepancy. - Corinna Cortes; Mehryar Mohri; Andres Muñoz Medina (KDD, 2015)

Kernel Extraction via Voted Risk Minimization. - Corinna Cortes; Prasoon Goyal; Vitaly Kuznetsov; Mehryar Mohri (FE@NIPS, 2015)

Voted Kernel Regularization. - Corinna Cortes; Prasoon Goyal; Vitaly Kuznetsov; Mehryar Mohri (CoRR, 2015)

Hancock: A Language for Analyzing Transactional Data Streams. - Corinna Cortes; Kathleen Fisher; Daryl Pregibon; Anne Rogers; Frederick Smith (Data Stream Management, 2016)

Learning with Rejection. - Corinna Cortes; Giulia DeSalvo; Mehryar Mohri (ALT, 2016)

Boosting with Abstention. - Corinna Cortes; Giulia DeSalvo; Mehryar Mohri (NIPS, 2016)

Structured Prediction Theory Based on Factor Graph Complexity. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Scott Yang (NIPS, 2016)

Structured Prediction Theory and Voted Risk Minimization. - Corinna Cortes; Mehryar Mohri; Vitaly Kuznetsov; Scott Yang (CoRR, 2016)

AdaNet: Adaptive Structural Learning of Artificial Neural Networks. - Corinna Cortes; Xavier Gonzalvo; Vitaly Kuznetsov; Mehryar Mohri; Scott Yang (ICML, 2017)

On-line Learning with Abstention. - Corinna Cortes; Giulia DeSalvo; Mehryar Mohri; Scott Yang (CoRR, 2017)

Online Learning with Abstention. - Corinna Cortes; Giulia DeSalvo; Claudio Gentile; Mehryar Mohri; Scott Yang (ICML, 2018)

Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Dmitry Storcheus; Scott Yang (NeurIPS, 2018)

Region-Based Active Learning. - Corinna Cortes; Giulia DeSalvo; Claudio Gentile; Mehryar Mohri; Ningshan Zhang (AISTATS, 2019)

Online Non-Additive Path Learning under Full and Partial Information. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Holakou Rahmanian; Manfred K. Warmuth (ALT, 2019)

Online Learning with Sleeping Experts and Feedback Graphs. - Corinna Cortes; Giulia DeSalvo; Claudio Gentile; Mehryar Mohri; Scott Yang (ICML, 2019)

Active Learning with Disagreement Graphs. - Corinna Cortes; Giulia DeSalvo; Mehryar Mohri; Ningshan Zhang; Claudio Gentile (ICML, 2019)

Learning GANs and Ensembles Using Discrepancy. - Ben Adlam; Corinna Cortes; Mehryar Mohri; Ningshan Zhang (NeurIPS, 2019)

Regularized Gradient Boosting. - Corinna Cortes; Mehryar Mohri; Dmitry Storcheus (NeurIPS, 2019)

Relative deviation learning bounds and generalization with unbounded loss functions. - Corinna Cortes; Spencer Greenberg; Mehryar Mohri (Ann. Math. Artif. Intell., 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)

Adaptation Based on Generalized Discrepancy. - Corinna Cortes; Mehryar Mohri; Andrés Muñoz Medina (J. Mach. Learn. Res., 2019)

Understanding the Effects of Batching in Online Active Learning. - Kareem Amin 002; Corinna Cortes; Giulia DeSalvo; Afshin Rostamizadeh (AISTATS, 2020)

Adaptive Region-Based Active Learning. - Corinna Cortes; Giulia DeSalvo; Claudio Gentile; Mehryar Mohri; Ningshan Zhang (ICML, 2020)

Online Learning with Dependent Stochastic Feedback Graphs. - Corinna Cortes; Giulia DeSalvo; Claudio Gentile; Mehryar Mohri; Ningshan Zhang (ICML, 2020)

Agnostic Learning with Multiple Objectives. - Corinna Cortes; Mehryar Mohri; Javier Gonzalvo; Dmitry Storcheus (NeurIPS, 2020)

Beyond Individual and Group Fairness. - Pranjal Awasthi; Corinna Cortes; Yishay Mansour; Mehryar Mohri (CoRR, 2020)

Multiple-Source Adaptation with Domain Classifiers. - Corinna Cortes; Mehryar Mohri; Ananda Theertha Suresh; Ningshan Zhang (CoRR, 2020)

Relative Deviation Margin Bounds. - Corinna Cortes; Mehryar Mohri; Ananda Theertha Suresh (ICML, 2021)

A Discriminative Technique for Multiple-Source Adaptation. - Corinna Cortes; Mehryar Mohri; Ananda Theertha Suresh; Ningshan Zhang (ICML, 2021)

Boosting with Multiple Sources. - Corinna Cortes; Mehryar Mohri; Dmitry Storcheus; Ananda Theertha Suresh (NeurIPS, 2021)

Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment. - Corinna Cortes; Neil D. Lawrence (CoRR, 2021)

Theory and Algorithm for Batch Distribution Drift Problems. - Pranjal Awasthi; Corinna Cortes; Christopher Mohri (AISTATS, 2023)

Differentially Private Domain Adaptation with Theoretical Guarantees. - Raef Bassily; Corinna Cortes; Anqi Mao; Mehryar Mohri (ICML, 2024)

A Theory of Learning with Competing Objectives and User Feedback. - Pranjal Awasthi; Corinna Cortes; Yishay Mansour; Mehryar Mohri (ISAIM, 2024)

Cardinality-Aware Set Prediction and Top-$k$ Classification. - Corinna Cortes; Anqi Mao; Christopher Mohri; Mehryar Mohri; Yutao Zhong 002 (NeurIPS, 2024)

Best-effort adaptation. - Pranjal Awasthi; Corinna Cortes; Mehryar Mohri (Ann. Math. Artif. Intell., 2024)

Theory and algorithms for learning with rejection in binary classification. - Corinna Cortes; Giulia DeSalvo; Mehryar Mohri (Ann. Math. Artif. Intell., 2024)

Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data. - Corinna Cortes; Anqi Mao; Mehryar Mohri; Yutao Zhong 002 (CoRR, 2025)