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kernel classifier

16 papers

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Co-occurring keywords

kernel methods (1097) support vector machine (978) adversarial example (564) non-parametric method (49) nearest neighbor (218) feature selection (649) online learning (1777) adversarial robustness (1341) bayes optimal classifier (18) simulation-based inference (31)

Papers

Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation AISTATS 2022
Generalised Lipschitz Regularisation Equals Distributional Robustness ICML 2021
Consistent Non-Parametric Methods for Maximizing Robustness NIPS 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 NIPS 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 NIPS 2011
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
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