classification risk

Harmless interpolation in regression and classification with structured features AISTATS 2022 Learning from Noisy Pairwise Similarity and Unlabeled Data JMLR 2022 Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization ACML 2022 Multi-Label Learning with Pairwise Relevance Ordering NeurIPS 2021 Robust Imitation Learning from Noisy Demonstrations AISTATS 2021 Bridging Ordinary-Label Learning and Complementary-Label Learning ACML 2020 Progressive Identification of True Labels for Partial-Label Learning ICML 2020 Complementary-Label Learning for Arbitrary Losses and Models ICML 2019 Theoretical Analysis of Cross-Validation for Estimating the Risk of the k-Nearest Neighbor Classifier JMLR 2018 Learning from Complementary Labels NeurIPS 2017 Learning from Corrupted Binary Labels via Class-Probability Estimation ICML 2015 Bayes-Optimal Scorers for Bipartite Ranking COLT 2014 Feature Selection in High-Dimensional Classification ICML 2013