universal consistency

Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes ICML 2024 Minimax Risk Classifiers with 0-1 Loss JMLR 2023 On Error and Compression Rates for Prototype Rules AAAI 2023 A universally consistent learning rule with a universally monotone error JMLR 2022 Data-Derived Weak Universal Consistency JMLR 2022 Universally Consistent Online Learning with Arbitrarily Dependent Responses ALT 2022 Universal Online Learning: an Optimistically Universal Learning Rule COLT 2022 Universal Online Learning with Bounded Loss: Reduction to Binary Classification COLT 2022 Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes JMLR 2021 Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces JMLR 2021 Multivariate Probability Calibration with Isotonic Bernstein Polynomials IJCAI 2020 Consistent Multitask Learning with Nonlinear Output Relations NeurIPS 2017 Learning with Incremental Iterative Regularization NeurIPS 2015 Rates of Convergence for Nearest Neighbor Classification NeurIPS 2014 Universal Consistency of Localized Versions of Regularized Kernel Methods JMLR 2013 Reducing statistical time-series problems to binary classification NeurIPS 2012 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NeurIPS 2011 Kernel Partial Least Squares is Universally Consistent AISTATS 2010 Universal Consistency of Multi-Class Support Vector Classification NeurIPS 2010 AdaBoost is Consistent JMLR 2007 AdaBoost is Consistent NeurIPS 2006