This page provides quick links to lecture notes that I have written for various classes: CS254: A graduate class on computational complexity (Stanford) [Spring 2010 Class Home Page] [Notes for Lectures 1-8] CS278: A graduate class on computational complexity (Berkeley) [Spring 2001 Class Home Page] [Fall 2002 Class Home Page] [2001 Lecture Notes in book…
V. Papyan, J. Sulam, and M. Elad. (2017)cite arxiv:1707.06066Comment: This is the journal version of arXiv:1607.02005 and arXiv:1607.02009, accepted to IEEE Transactions on Signal Processing.
B. Ghojogh, M. Sikaroudi, H. Tizhoosh, F. Karray, and M. Crowley. (2020)cite arxiv:2004.01857Comment: Accepted (to appear) in International Conference on Image Analysis and Recognition (ICIAR) 2020, Springer.
C. Blundell, J. Cornebise, K. Kavukcuoglu, and D. Wierstra. Proceedings of the 32nd International Conference on Machine Learning, volume 37 of Proceedings of Machine Learning Research, page 1613--1622. Lille, France, PMLR, (07--09 Jul 2015)
A. Fisher, and E. Kennedy. (2018)cite arxiv:1810.03260Comment: This manuscript version includes 2 additional supplemental figures to further aid intuition. In total: 4 figures, 36 pages (double spaced).
H. Li, Z. Xu, G. Taylor, C. Studer, and T. Goldstein. (2017)cite arxiv:1712.09913Comment: NIPS 2018 (extended version, 10.5 pages), code is available at https://github.com/tomgoldstein/loss-landscape.