Below are presentation materials from significant talks given by OptML faculty members. Information and materials from other talks can be found on their personal webpages, for which links are given here.
- K. Scheinberg and F. E. Curtis, “Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning,” Tutorial, INFORMS Annual Meeting, Houston, Texas, USA, October 2017.
- K. Scheinberg, “Exploiting Second Order Information in Machine Learning Models,” Plenary, SIAM Conference on Optimization, Vancouver, British Columbia, Canada, May 2017.
- L. Bottou, F. E. Curtis, and J. Nocedal, “Stochastic Gradient Methods for Large-Scale Machine Learning,” Tutorial, International Conference on Machine Learning (ICML), New York, New York, USA, June 2016.