Navid Azizan Ruhi

Navid's research interests span a wide spectrum of topics in machine learning, optimization, control, and networks. His work has focused on various problems at the intersection of these areas, including deep learning theory, non-convex optimization, distributed algorithms for machine learning, networked markets, and rumor spread in social networks.

The Role of Optimizers in Generalization of Deep Learning

   

Stochastic Optimization Algorithms in Estimation

   

Optimization and Pricing in Markets

   

Distributed Optimization for Learning and Beyond

   

Spreading Processes in Complex Networks