Corinna Cortes

Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data ICML 2025 Cardinality-Aware Set Prediction and Top-k Classification NeurIPS 2024 Differentially Private Domain Adaptation with Theoretical Guarantees ICML 2024 Theory and Algorithm for Batch Distribution Drift Problems AISTATS 2023 A Discriminative Technique for Multiple-Source Adaptation ICML 2021 Boosting with Multiple Sources NeurIPS 2021 Relative Deviation Margin Bounds ICML 2021 Adaptive Region-Based Active Learning ICML 2020 Agnostic Learning with Multiple Objectives NeurIPS 2020 Online Learning with Dependent Stochastic Feedback Graphs ICML 2020 Understanding the Effects of Batching in Online Active Learning AISTATS 2020 Active Learning with Disagreement Graphs ICML 2019 Adaptation Based on Generalized Discrepancy JMLR 2019 Learning GANs and Ensembles Using Discrepancy NeurIPS 2019 Online Learning with Sleeping Experts and Feedback Graphs ICML 2019 Online Non-Additive Path Learning under Full and Partial Information ALT 2019 Region-Based Active Learning AISTATS 2019 Regularized Gradient Boosting NeurIPS 2019 Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses NeurIPS 2018 Online Learning with Abstention ICML 2018 AdaNet: Adaptive Structural Learning of Artificial Neural Networks ICML 2017 Boosting with Abstention NeurIPS 2016 Structured Prediction Theory Based on Factor Graph Complexity NeurIPS 2016 On-Line Learning Algorithms for Path Experts with Non-Additive Losses COLT 2015 Structural Maxent Models ICML 2015 Deep Boosting ICML 2014 Ensemble Methods for Structured Prediction ICML 2014 Learning Ensembles of Structured Prediction Rules ACL 2014 Learning Kernels Using Local Rademacher Complexity NeurIPS 2013 Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013 Accuracy at the Top NeurIPS 2012 Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012 Half Transductive Ranking AISTATS 2010 Learning Bounds for Importance Weighting NeurIPS 2010 On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010 Learning Non-Linear Combinations of Kernels NeurIPS 2009 Polynomial Semantic Indexing NeurIPS 2009 On Transductive Regression NeurIPS 2006 Rational Kernels: Theory and Algorithms JMLR 2004