CS Theory Online Talks The goal of this website is to help find online talks which could be of interest to students and researchers in CS theory. As many of us are home now and cannot travel, this can help us stay connected. Submit new talk (please first check if the talk is not already…
S. Chen, E. Dobriban, and J. Lee. (2019)cite arxiv:1907.10905Comment: Changed title. Added results on overparametrized 2-layer nets. Added error bars to experiments. Numerous other minor improvements.
D. Burt, C. Rasmussen, and M. Van Der Wilk. Proceedings of the 36th International Conference on Machine Learning, volume 97 of Proceedings of Machine Learning Research, page 862--871. Long Beach, California, USA, PMLR, (09--15 Jun 2019)
M. Vadera, A. Cobb, B. Jalaian, and B. Marlin. (2020)cite arxiv:2007.04466Comment: Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning.
M. Brennan, and G. Bresler. (2020)cite arxiv:2005.08099Comment: 175 pages; subsumes preliminary draft arXiv:1908.06130; accepted for presentation at the Conference on Learning Theory (COLT) 2020.
D. Diochnos, S. Mahloujifar, and M. Mahmoody. (2018)cite arxiv:1810.12272Comment: Full version of a work with the same title that will appear in NIPS 2018, 31 pages containing 5 figures, 1 table, 2 algorithms.
J. Hron, A. Matthews, and Z. Ghahramani. Proceedings of the 35th International Conference on Machine Learning, volume 80 of Proceedings of Machine Learning Research, page 2019--2028. Stockholmsmässan, Stockholm Sweden, PMLR, (10--15 Jul 2018)
Y. Yang, R. Bamler, and S. Mandt. (2020)cite arxiv:2006.04240Comment: 8 pages + detailed supplement with additional qualitative and quantitative results.