Vyacheslav Kungurtsev is an Applied Mathematician with a specialization in Optimization, focusing on applications in machine learning, engineering, and mathematical physics.
Graduate
Ph.D., Computational Mathematics, University of San Diego, California
Undergraduate
B.S., Mathematics, Duke University
Representative Publications
- Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs V Kungurtsev, M Morafah, T Javidi, G Scutari IEEE Transactions on Control of Network Systems 10 (4), 1796-1804
- A subsampling line-search method with second-order results EH Bergou, Y Diouane, V Kunc, V Kungurtsev, CW Royer INFORMS Journal on Optimization 4 (4), 403-425
- Simultaneous online model identification and production optimization using modifier adaptation J Matias, V Kungurtsev, M Egan Journal of Process Control 110, 110-120
- Mean-field analysis of piecewise linear solutions for wide ReLU networks A Shevchenko, V Kungurtsev, M Mondelli Journal of Machine Learning Research 23 (130), 1-55
Optimization Theory
Mathematical Physics
Numerical Algorithms
Scientific Computing
Your ideal research study
A difficult real world problem that requires a combination of deep theoretical insight for a solution together with clever numerical techniques for adequate scalability and performance
What drew you to consciousness
AI Alignment in particular presents an opportunity for intellectually stimulating interdisciplinary work, wherein philosophy, biology, principal agent/game theory principles, together with machine learning and computing have to be considered in an interdependent manner.
Hobbies
Musician, playing guitar, bass, keys, and vox (rapping and singing)