ML Anthology

Cortes, Corinna

69 publications

ICML 2025 Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2025 Improved Balanced Classification with Theoretically Grounded Loss Functions Corinna Cortes, Mehryar Mohri, Yutao Zhong
NeurIPS 2024 Cardinality-Aware Set Prediction and Top-$k$ Classification Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
ICML 2024 Differentially Private Domain Adaptation with Theoretical Guarantees Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri
AISTATS 2023 Theory and Algorithm for Batch Distribution Drift Problems Pranjal Awasthi, Corinna Cortes, Christopher Mohri
NeurIPSW 2022 A Theory of Learning with Competing Objectives and User Feedback Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri
NeurIPSW 2022 A Theory of Learning with Competing Objectives and User Feedback Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri
NeurIPSW 2022 AdaME: Adaptive Learning of Multisource Adaptationensembles Scott Yak, Javier Gonzalvo, Mehryar Mohri, Corinna Cortes
NeurIPSW 2022 Theory and Algorithm for Batch Distribution Drift Problems Pranjal Awasthi, Corinna Cortes, Christopher Mohri
ICML 2021 A Discriminative Technique for Multiple-Source Adaptation Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang
NeurIPS 2021 Boosting with Multiple Sources Corinna Cortes, Mehryar Mohri, Dmitry Storcheus, Ananda Theertha Suresh
ICML 2021 Relative Deviation Margin Bounds Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh
ICML 2020 Adaptive Region-Based Active Learning Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
NeurIPS 2020 Agnostic Learning with Multiple Objectives Corinna Cortes, Mehryar Mohri, Javier Gonzalvo, Dmitry Storcheus
ICML 2020 Online Learning with Dependent Stochastic Feedback Graphs Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
AISTATS 2020 Understanding the Effects of Batching in Online Active Learning Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh
ICML 2019 Active Learning with Disagreement Graphs Corinna Cortes, Giulia Desalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile
JMLR 2019 Adaptation Based on Generalized Discrepancy Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina
NeurIPS 2019 Learning GANs and Ensembles Using Discrepancy Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang
ICML 2019 Online Learning with Sleeping Experts and Feedback Graphs Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
ALT 2019 Online Non-Additive Path Learning Under Full and Partial Information Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred Warmuth
AISTATS 2019 Region-Based Active Learning Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
NeurIPS 2019 Regularized Gradient Boosting Corinna Cortes, Mehryar Mohri, Dmitry Storcheus
NeurIPS 2018 Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Dmitry Storcheus, Scott Yang
ICML 2018 Online Learning with Abstention Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
ICML 2017 AdaNet: Adaptive Structural Learning of Artificial Neural Networks Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
NeurIPS 2016 Boosting with Abstention Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
ALT 2016 Learning with Rejection Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
NeurIPS 2016 Structured Prediction Theory Based on Factor Graph Complexity Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
COLT 2015 On-Line Learning Algorithms for Path Experts with Non-Additive Losses Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Manfred K. Warmuth
ICML 2015 Structural Maxent Models Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
ICML 2014 Deep Boosting Corinna Cortes, Mehryar Mohri, Umar Syed
ICML 2014 Ensemble Methods for Structured Prediction Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri
NeurIPS 2013 Learning Kernels Using Local Rademacher Complexity Corinna Cortes, Marius Kloft, Mehryar Mohri
ICML 2013 Multi-Class Classification with Maximum Margin Multiple Kernel Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
NeurIPS 2012 Accuracy at the Top Stephen Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic
JMLR 2012 Algorithms for Learning Kernels Based on Centered Alignment Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
ALT 2011 Domain Adaptation in Regression Corinna Cortes, Mehryar Mohri
UAI 2011 Ensembles of Kernel Predictors Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
ICML 2010 Generalization Bounds for Learning Kernels Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
AISTATS 2010 Half Transductive Ranking Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri
NeurIPS 2010 Learning Bounds for Importance Weighting Corinna Cortes, Yishay Mansour, Mehryar Mohri
AISTATS 2010 On the Impact of Kernel Approximation on Learning Accuracy Corinna Cortes, Mehryar Mohri, Ameet Talwalkar
ICML 2010 Two-Stage Learning Kernel Algorithms Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
ICML 2009 Invited Talk: Can Learning Kernels Help Performance? Corinna Cortes
UAI 2009 L2 Regularization for Learning Kernels Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
NeurIPS 2009 Learning Non-Linear Combinations of Kernels Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
NeurIPS 2009 Polynomial Semantic Indexing Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri
ALT 2008 Sample Selection Bias Correction Theory Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh
ICML 2008 Stability of Transductive Regression Algorithms Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi
COLT 2007 Learning Languages with Rational Kernels Corinna Cortes, Leonid Kontorovich, Mehryar Mohri
ICML 2007 Magnitude-Preserving Ranking Algorithms Corinna Cortes, Mehryar Mohri, Ashish Rastogi
ALT 2006 Learning Linearly Separable Languages Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
NeurIPS 2006 On Transductive Regression Corinna Cortes, Mehryar Mohri
ICML 2005 A General Regression Technique for Learning Transductions Corinna Cortes, Mehryar Mohri, Jason Weston
COLT 2005 Margin-Based Ranking Meets Boosting in the Middle Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E. Schapire
MLJ 2005 Moment Kernels for Regular Distributions Corinna Cortes, Mehryar Mohri
NeurIPS 2004 Confidence Intervals for the Area Under the ROC Curve Corinna Cortes, Mehryar Mohri
ICML 2004 Distribution Kernels Based on Moments of Counts Corinna Cortes, Mehryar Mohri
JMLR 2004 Rational Kernels: Theory and Algorithms (Special Topic on Learning Theory) Corinna Cortes, Patrick Haffner, Mehryar Mohri
NeurIPS 2003 AUC Optimization vs. Error Rate Minimization Corinna Cortes, Mehryar Mohri
COLT 2003 Positive Definite Rational Kernels Corinna Cortes, Patrick Haffner, Mehryar Mohri
NeurIPS 2002 Rational Kernels Corinna Cortes, Patrick Haffner, Mehryar Mohri
NeurIPS 1995 Boosting Decision Trees Harris Drucker, Corinna Cortes
MLJ 1995 Support-Vector Networks Corinna Cortes, Vladimir Vapnik
NeCo 1994 Boosting and Other Ensemble Methods Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik
ICML 1994 Boosting and Other Machine Learning Algorithms Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik
NeurIPS 1994 Limits on Learning Machine Accuracy Imposed by Data Quality Corinna Cortes, L. D. Jackel, Wan-Ping Chiang
NeurIPS 1993 Learning Curves: Asymptotic Values and Rate of Convergence Corinna Cortes, L. D. Jackel, Sara A. Solla, Vladimir Vapnik, John S. Denker