Communication­-Efficient Distributed Block Minimization for Nonlinear Kernel Machines
Discriminative k-Metrics
Decision Rule-Based Algorithm for Ordinal Classification Based on Rank Loss Minimization
LaRank, SGD-QN - Fast Optimizers for Linear SVM
Density Ratio Estimation in Machine Learning
Polyhedral Outer Approximations with Application to Natural Language Parsing
Online-Batch Strongly Convex Multi Kernel Learning
Mathematics of Machine Learning
SVM Optimization: Inverse Dependence on Training Set Size
Classification with Deep Invariant Scattering Networks