Shane T. Barratt |
My research focuses on convex optimization, and in particular its applications to machine learning and control. I received the Ph.D. degree in electrical engineering from Stanford University (advised by Professor Stephen Boyd) in 2021, the M.S. degree in electrical engineering from Stanford University in 2019, and the B.S. degree in electrical engineering and computer science from the University of California, Berkeley in 2017. Previously, I have interned at the Blackrock AI Labs, Lyft Level 5 (see the blog post), Google (in particular, Skybox Imaging/Terra Bella), Qualcomm-Atheros, and SoRoCo.
For papers listed by citation count, see Google Scholar.
S. Barratt and S. Boyd. IEEE Transactions on Automatic Control.
A. Agrawal, S. Barratt, and S. Boyd. IEEE/CAA Journal of Automatica Sinica.
S. Barratt and S. Boyd. Manuscript.
J. Tuck, S. Barratt, and S. Boyd. Journal of Machine Learning Research.
S. Barratt, G. Angeris, and S. Boyd. Statistics and Computing.
S. Barratt, G. Angeris, and S. Boyd. Optimization and Engineering.
S. Barratt and S. Boyd. Manuscript.
J. Tuck, S. Barratt, and S. Boyd. Machine Learning in Financial Markets: A Guide to Contemporary Practice.
S. Barratt. PhD Thesis.
S. Barratt and S. Boyd. Engineering Optimization.
S. Barratt, G. Angeris, and S. Boyd. Optimization Letters.
S. Barratt, J. Tuck, and S. Boyd. Manuscript.
M. Palan, S. Barratt, A. McCauley, D. Sadigh, V. Sindhwani, and S. Boyd. Proceedings of Machine Learning Research.
S. Barratt and S. Boyd. Manuscript.
S. Barratt, Y. Dong, and S. Boyd. Manuscript.
S. Boyd, A. Agrawal, and S. Barratt. Plenary lecture, IEEE Conference on Decision and Control.
A. Agrawal, S. Barratt, S. Boyd, and B. Stellato. Proceedings of Machine Learning Research.
S. Barratt and S. Boyd. Proceedings of the American Control Conference.
A. Agrawal, B. Amos, S. Barratt, S. Boyd, S. Diamond, and J. Zico Kolter. Advances in Neural Information Processing Systems.
S. Barratt, M. Kochenderfer, and S. Boyd. IEEE Transactions on Intelligent Transportation Systems.
A. Agrawal, S. Barratt, S. Boyd, E. Busseti, and W. Moursi. Journal of Applied and Numerical Optimization.
R. Sharma, S. Barratt, S. Ermon, and V. Pande. Manuscript.
Y. Kim, A. Qadir, A. Narayanaswamy, R. Murty, S. Barratt, and G. Nychis. US Patent.
S. Barratt and R. Sharma. Manuscript.
S. Barratt. Manuscript.
S. Barratt and R. Sharma. ICML Workshop on Theoretical Foundations and Applications of Deep Generative Models.
C. de Vrieze, S. Barratt, D. Tsai, and A. Sahai. Manuscript.
S. Barratt. ICML Workshop on Planning and Learning.
S. Barratt. Neurips Interpretable ML Symposium.
S. Barratt. Manuscript.
A. Lee, M. Goldstein, S. Barratt, and P. Abbeel. International Conference on Robotics and Automation.