J. Behrmann, W. Grathwohl, R. Chen, D. Duvenaud, und J. Jacobsen. Proceedings of the 36th International Conference on Machine Learning, Volume 97 von Proceedings of Machine Learning Research, Seite 573--582. Long Beach, California, USA, PMLR, (09--15 Jun 2019)
S. Gunasekar, J. Lee, D. Soudry, und N. Srebro. (2018)cite arxiv:1802.08246Comment: (1) A bug in the proof of implicit bias for matrix factorization was fixed. v2 gives a characterization of the asymptotic bias of the factor matrices, while v1 made a stronger claim on the limit direction of the unfactored matrix. (2) v2 also includes new results on implicit bias of mirror descent with realizable affine constraints.
K. Kawaguchi, L. Kaelbling, und Y. Bengio. (2017)cite arxiv:1710.05468Comment: To appear in Mathematics of Deep Learning, Cambridge University Press. All previous results remain unchanged.