Rank, Trace-Norm and Max-Norm

Author:

Srebro Nathan,Shraibman Adi

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Srebro, N., Rennie, J., Jaakkola, T.: Maximum margin matrix factorization. In: Advances In Neural Information Processing Systems, vol. 17 (2005)

2. Srebro, N., Alon, N., Jaakkola, T.: Generalization error bounds for collaborative prediction with low-rank matrices. In: Advances In Neural Information Processing Systems, vol. 17 (2005)

3. Arriaga, R.I., Vempala, S.: An algorithmic theory of learning: Robust concepts and random projection. In: Proc. of the 40th Foundations of Computer Science (1999)

4. Ben-David, S., Eiron, N., Simon, H.U.: Limitations of learning via embeddings in euclidean half spaces. JMLR 3, 441–461 (2002)

5. Forster, J., Schmitt, N., Simon, H.U., Suttorp, T.: Estimating the optimal margins of embeddings in euclidean half spaces. Machine Learning 51, 263–281 (2003)

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