Spectral k-Support Norm Regularization

By Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos. 2014

46 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Hongwei Wang
2. Qiang Yang
3. Fuzheng Zhang
4. Xing Xie
5. Yu Zhang
6. Miao Zhao
7. Wenjie Li
8. Minyi Guo

Citations in the corpus

• A Survey on Multi-Task Learning (2017, background): “Moreover, a spectral k-support norm is proposed in [51] as an improvement over the trace norm regularization.”
• Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation (2019, background): “performance improvement compared with learning them individually. In general, MTL algorithms can be classified into several categories, including feature learning approach [34, 41], low-rank approach [7, 16], task clustering approach [47], task relation learning approach [12], and decomposition appr”