3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2020
Online Parameter-Free Learning of Multiple Low Variance Tasks
Giulia Denevi, Dimitris Stamos, Massimiliano Pontil
We propose a method to learn a common bias vector for a growing sequence of low-variance tasks. Unlike state-of-the-art approaches, our method does not require tuning any hyper-par…
cs.LG2017★ 3 cited
Reexamining Low Rank Matrix Factorization for Trace Norm Regularization
Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
Trace norm regularization is a widely used approach for learning low rank matrices. A standard optimization strategy is based on formulating the problem as one of low rank matrix f…