The Optimization for Vision and Learning (OVAL) Group research and people involved, Department of Engineering Science, University of Oxford
Optimization for Vision and Learning (OVAL)
Our Research
The OVAL group is part of Information Engineering in the Department of Engineering Science at the University of Oxford.
Our research focuses on the design and analysis of optimization algorithms for problems that arise in computer vision and machine learning. Examples include supervised and weakly supervised parameter estimation of deep neural networks, and global optimization for neural network verification.
Optimization - Machine Learning
