kernel classifier

The optimality of kernel classifiers in Sobolev space ICLR 2024 Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation AISTATS 2022 Consistent Non-Parametric Methods for Maximizing Robustness NeurIPS 2021 Generalised Lipschitz Regularisation Equals Distributional Robustness ICML 2021 When are Non-Parametric Methods Robust? ICML 2020 Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring AISTATS 2019 Introducing Weighted Kernel Classifiers for Handling Imbalanced Paralinguistic Corpora: Snoring, Addressee and Cold Interspeech 2017 Sign rank versus VC dimension COLT 2016 Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments NeurIPS 2016 Online Kernel Learning with a Near Optimal Sparsity Bound ICML 2013 Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011 The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers NeurIPS 2011 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Performance analysis for L\_2 kernel classification NeurIPS 2008 Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results JMLR 2007 Fast Kernel Classifiers with Online and Active Learning JMLR 2005 Minimal Kernel Classifiers JMLR 2002 Bayes Point Machines JMLR 2001