Navid Azizan Ruhi

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

The Role of Optimizers in Generalization of Deep Learning


Optimization and Pricing in Markets


Stochastic Optimization Algorithms in Estimation


Algorithms for Distributed Computation


Spreading Processes in Complex Networks