Co-occurring keywords · papers mentioning both
Papers
Learning Data-adaptive Non-parametric Kernels
JMLR 2020
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
ICML 2019
How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances?
ICML 2015
Learning large-margin halfspaces with more malicious noise
NeurIPS 2011
Variable margin losses for classifier design
NeurIPS 2010
Relative Margin Machines
NeurIPS 2008
A Risk Minimization Principle for a Class of Parzen Estimators
NeurIPS 2007