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07/11/2020
Online Parameter-Free Learning of Multiple Low Variance Tasks
We propose a method to learn a common bias vector for a growing sequence...
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03/02/2019
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
We study the interplay between surrogate methods for structured predicti...
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03/21/2018
Incremental Learning-to-Learn with Statistical Guarantees
In learning-to-learn the goal is to infer a learning algorithm that work...
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06/27/2017
Reexamining Low Rank Matrix Factorization for Trace Norm Regularization
Trace norm regularization is a widely used approach for learning low ran...
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01/04/2016
Fitting Spectral Decay with the k-Support Norm
The spectral k-support norm enjoys good estimation properties in low ran...
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12/27/2015