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N. Desai, and S. Bandyopadhyay. Energy, 34 (10):
1674 - 1686(2009)11th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction.
C. Wei, J. Lee, Q. Liu, and T. Ma. (2018)cite arxiv:1810.05369Comment: version 2: title changed from originally Ön the Margin Theory of Feedforward Neural Networks". Substantial changes from old version of paper, including a new lower bound on NTK sample complexity version 3: reorganized NTK lower bound proof.
S. Gunasekar, J. Lee, D. Soudry, and 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.
E. Ryu, J. Liu, S. Wang, X. Chen, Z. Wang, and W. Yin. (2019)cite arxiv:1905.05406Comment: Published in the International Conference on Machine Learning, 2019.