T. Osogami. (2017)cite arxiv:1708.06008Comment: 36 pages. The topics covered in this paper are presented in Part I of IJCAI-17 tutorial on energy-based machine learning. https://researcher.watson.ibm.com/researcher/view_group.php?id=7834.
J. Lucas, G. Tucker, R. Grosse, and M. Norouzi. (2019)cite arxiv:1911.02469Comment: 11 main pages, 10 appendix pages. 13 figures total. Accepted at 33rd Conference on Neural Information Processing Systems (NeurIPS 2019).
C. Maddison, D. Paulin, Y. Teh, and A. Doucet. (2019)cite arxiv:1902.02257Comment: Major revision, including simpler equivalent conditions for dual relative smoothness and applications to exponential penalty functions and p-norm regression.