Welcome to the homepage of the Optimization and Machine Learning (OptML) research group at Lehigh University! Please explore our page to find out more about our research, current and past people affiliated with the group, and about our recent seminar and reading seminar series.
- July 13-15, 2018: Katya Scheinberg is co-organizing a workshop on “Modern Trends in Nonconvex Optimization for Machine Learning” at ICML 2018; see the workshop website for more information.
- January 8-12, 2018: Katya Scheinberg is chair of the organizing committee for the U.S.-Mexico Workshop on Optimization and its Applications; see the workshop website for more information.
- January 1, 2018: Welcome Courtney Paquette, who is joining the group as a postdoctoral researcher. Courtney completed her thesis on “Structure and complexity in non-convex and nonsmooth optimization” at the University of Washington, where she was advised by D. Drusvyatskiy.
- August 28, 2017: Frank E. Curtis has left for sabbatical for the 2017-2018 academic year. He will be spending most of the Fall semester at Columbia University (hosted by Donald Goldfarb) and most of the Spring semester at New York University (hosted by Michael Overton) with shorter stints at Johns Hopkins University in the Fall (hosted by Daniel P. Robinson) and Northwestern University in the Spring (hosted by Jorge Nocedal and Andreas Waechter).
- August 24, 2017: Katya Scheinberg, Frank E. Curtis, and Martin Takac have been awarded a grant from the National Science Foundation’s Division on Computing and Communication Foundations, award number CCF-1740735, to create a TRIPODS Institute for Optimization and Learning. The institute is a collaborative effort with Francesco Orabona from Stony Brook University and Han Liu from Northwestern University, and will run from January 1, 2018 until December 31, 2020. Read more about the award here.
- May 24, 2017: Congratulations to Matt Menickelly for passing his dissertation defense!
- May 24, 2017: Katya Scheinberg gave a plenary talk at the SIAM Conference on Optimization in Vancouver, Canada. The presentation slides from her talk can be found on our Talks page.
- April 18, 2017: Congratulations to Wei Guo for passing his dissertation defense!
- March 3, 2017: Members of OptML attended the 11th Annual Machine Learning Symposium at the New York Academy of Sciences (NYAS).
- September 1, 2016: Katya Scheinberg has left for sabbatical for the 2016-2017 academic year. She will be spending half of the year at Google Research in New York City and the other half at the University of Oxford in the United Kingdom. At Google, she will be working with a machine learning research team on improving optimization algorithms for deep learning tools, as well as on other large-scale learning algorithms. At Oxford, she will be joining the Mathematical Institute as a visiting faculty member and joining both Balliol and Exeter Colleges as a visiting fellow. She will also hold a part-time visiting position at the new Alan Turing Institute in London. While in the UK, she will be focusing on research on stochastic optimization methods.
- September 1, 2016: OptML Faculty members Katya Scheinberg, Frank E. Curtis, and Martin Takac have been awarded a grant from the National Science Foundation’s Division on Computing and Communication Foundations, award number CCF-1618717. Their award is entitled “AF: Small: New Classes of Optimization Methods for Nonconvex Large Scale Machine Learning Models” and will run from September 1, 2016 until August 31, 2019.
- June 24, 2016: OptML faculty members Katya Scheinberg and Frank E. Curtis, along with Jorge Nocedal (Northwestern University) and Yoshua Bengio (University of Montreal), are organizing a workshop at ICML 2016 on Optimization Methods for the Next Generation of Machine Learning; see the announcement here. More details about the workshop can be found under Events or here.
- June 19, 2016: OptML faculty member Frank E. Curtis, along with Leon Bottou (Facebook AI Research) and Jorge Nocedal (Northwestern University), is giving a tutorial at ICML 2016 on “Stochastic Gradient Methods for Large Scale Machine Learning”. The announcement can be found here and the presentation slides can be found on our Talks page.
- March 4, 2016: Members of OptML attended the 10th Annual Machine Learning Symposium at the New York Academy of Sciences (NYAS). The symposium involved a competition sponsored by American Express, the winners of which included Wei Guo (overall winner) and Chenxin Ma (honorable mention) from OptML! (The 9th Annual Symposium had a similar competition, which was won by Zheng Han, a previous OptML member!)
- March 1, 2016: Welcome to the new website of the optimization and machine learning (OptML) research group at Lehigh University!