nonparametric classification

Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks NeurIPS 2024 Non-parametric classification via expand-and-sparsify representation NeurIPS 2024 Optimal Locally Private Nonparametric Classification with Public Data JMLR 2024 Regimes of No Gain in Multi-class Active Learning JMLR 2024 A Two-Stage Active Learning Algorithm for k-Nearest Neighbors ICML 2023 On Error and Compression Rates for Prototype Rules AAAI 2023 Active Learning with Neural Networks: Insights from Nonparametric Statistics NeurIPS 2022 Minimax optimal approaches to the label shift problem in non-parametric settings JMLR 2022 Nuances in Margin Conditions Determine Gains in Active Learning AISTATS 2022 Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation NeurIPS 2021 Robustness for Non-Parametric Classification: A Generic Attack and Defense AISTATS 2020 Unsupervised Feature Learning via Non-Parametric Instance Discrimination CVPR 2018 A Bayes consistent 1-NN classifier AISTATS 2015 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015 On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification NeurIPS 2014 Rates of Convergence for Nearest Neighbor Classification NeurIPS 2014 A Latent Source Model for Nonparametric Time Series Classification NeurIPS 2013 Sparse Additive Machine AISTATS 2012 Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NeurIPS 2009 New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006