PhD Qualifying Examination of Mr. George Orfanides
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DATE: Friday, December 1, 2023
TIME: 10:30 a.m.
PLACE: Burnside Hall, Room 1120
PRINCIPAL
EXAMINERS: Topic 1: Prof. Tim Hoheisel, Convex optimization and听DC programming
Relevant Literature: Hoheisel, T. (2018). Math 597 lecture notes on Convex听Optimization, 香蕉视频
Rockafellar, R. T., & Wets, R. J. B. (2009). Variational Analysis (pp. 38-71).听Tao, P. D., & An, L. H. (1997). Convex analysis approach to DC
programming: theory, algorithms and applications. Acta mathematica听vietnamica, 22(1), 289-355.
Topic 2: Prof. Adam Oberman, Statistical Learning
Theory
Relevant Literature: Mohri, M., Rostamizadeh, A., & Talwalkar, A. (2018). Foundations of Machine Learning, second edition.
Shalev-Shwartz, S., & Ben-David, S. (2014). Understanding Machine Learning. Cambridge University Press.
ADDITIONAL Prof. Dr. Simone Brugiapaglia
EXAMINERS: Prof. Courtney Paquette
CHAIR: Prof. J茅r么me V茅tois
The examination is open to staff members and visitors but not to students.