Scholar
Ilnura Usmanova
Google Scholar ID: XmljTDgAAAAJ
SDSC hub at PSI, Switzerland
Citations & Impact
Citations
353
H-index
9
i10-index
9
Publications
16
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Safe Convex Learning under Uncertain Constraints. Ilnura Usmanova, Andreas Krause, and Maryam Kamgarpour. Proceedings of the 22nd AISTATS, PMLR: Vol. 89, 2019
- - Safe non-smooth black-box optimization with application to policy search. Ilnura Usmanova, Andreas Krause, and Maryam Kamgarpour. Learning for Dynamics and Control, 2020
- - Fast Projection Onto Convex Smooth Constraints. Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause, Kfir Levy. Proceedings of the 38th International Conference on Machine Learning, 2021.
- - Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning. Ilnura Usmanova, Yarden As, Maryam Kamgarpour*, Andreas Krause*. Journal of Machine Learning Research, 2024
Research Experience
- Works as a Sr. Data Scientist at the Swiss Data Science Center (SDSC) hub at PSI, focusing on developing statistical and optimization methods for multiple fields.
Background
- Currently, a Sr. Data Scientist at Swiss Data Science Center (SDSC) hub at PSI, Switzerland. Her research work includes developing statistical and optimization methods for various domains such as spectroscopy, power management, etc. Her core research interests are mostly focused on developing safe learning and optimization algorithms for convex and non-convex constrained problems. Particular optimization domains of interest include robust optimization, chance constraints, derivative-free optimization algorithms, large-scale optimization, online learning. In future, she considers developing provably safe feedback control policies with application to robotics in uncertain environment, personalized medicine, etc.
Co-authors