78 citations · 412 across the 48 of their papers we have counts for
Showing 2015 · stat.MLShow all
2 papers · 2 filters
stat.ML2015★ 14 cited
Iterative Regularization for Learning with Convex Loss Functions
Junhong Lin, Lorenzo Rosasco, Ding-Xuan Zhou
We consider the problem of supervised learning with convex loss functions and propose a new form of iterative regularization based on the subgradient method. Unlike other regulariz…
stat.ML2015★ 6 cited
Online Pairwise Learning Algorithms with Kernels
Yiming Ying, Ding-Xuan Zhou
Pairwise learning usually refers to a learning task which involves a loss function depending on pairs of examples, among which most notable ones include ranking, metric learning an…