Sebastian Pokutta
Sebastian Pokutta
David M. McKenney Family Associate Professor
Associate Director of the Center for Machine Learning @ GT
Georgia Institute of Technology
Industrial and Systems Engineering (ISyE)
Algorithms and Randomness Center (ARC)
Center for Machine Learning @ GT (ML@GT)
Email. <firstname.lastname> AT isye.gatech.edu
Prospective Students/Postdocs. Please note that I unfortunately will be unable to respond to most inquiries regarding openings in my group. The admissions process at Georgia Tech is handled by the respective departments and not individual faculty. If you are already a student at GT or have been admitted, please feel free to contact me if you are interested in my research.
Recent Papers.
- Blended Conditional Gradients: the unconditioning of conditional gradients
G. Braun, S. Pokutta, D. Tu, S. Wright
preprint (2018), [arXiv] - Robust Submodular Maximization: Offline and Online Algorithms
N. Anari, N. Haghtalab, S. Naor, S. Pokutta, M. Singh, A. Torrico
preprint (2017), [arXiv]
Recent Talks.
- 05/2018: Talking about "Blended Conditional Gradients" at Monash University [slides] (unfortunately the animations do not work; see [arXiv] for exact algorithm)
- 04/2018: Talking at the Hong Kong Analytics Community Meeting about "When the AI God fails: Recent Adventures in AI Hacking, Security, and Fairness" [slides]
- 04/2018: Talking at the "Optimization and Discrete Geometry" Workshop in Tel Aviv about "Emulating the Expert: Inverse Optimization through Online Learning" [slides]
News.
- Summer 2018: We are organizing a workshop on "Discrete Optimization and Machine Learning" in July 2018 at the Center for Advanced Intelligence in Tokyo
- Spring 2018: We are organizing the "1st Transatlantic-Transpacific Workshop on Machine Learning and Discrete Optimization" in March 2018
- Spring 2018: Teaching a special topics course on Machine Learning and Discrete Decisions and a VIP project (with M. Bloch) on Machine Learning in Wireless Communication.
- 05/2017: Georgia Tech has now a Ph.D. Program in Machine Learning
- 12/2016: Passed the first hurdle of the DARPA SC2 challenge [project page]
- 06/2016: Official launch of Machine Learning @ GT Interdisciplinary Research Center
- 03/2016: David M. McKenney Family Early Career Professor appointment
- 07/2015: Saving Lives @ Birth 2015 Seed Grant Award Nominee
“Low-cost Technology to Assess the Risk of Obstructed Labor in Ethiopia”
together with B. Dixon and R. Gleason - 04/2015: ISYE/George Family Foundation Seed Grant in Predictive Health
“Non-invasive Pregnancy Diagnostics for Predicting Obstructed Labor”
together with B. Dixon and R. Gleason - 01/2015: CAREER Award, National Science Foundation, 2015