15 citations · 23 across the 3 of their papers we have counts for
3 papers
Dynamic Regret Analysis for Online Meta-Learning
Parvin Nazari, Esmaile Khorram
The online meta-learning framework has arisen as a powerful tool for the continual lifelong learning setting. The goal for an agent is to quickly learn new tasks by drawing on prio…
Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems
Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis
In this paper, we design and analyze a new family of adaptive subgradient methods for solving an important class of weakly convex (possibly nonsmooth) stochastic optimization probl…
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization
Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis
Adaptive gradient-based optimization methods such as \textsc{Adagrad}, \textsc{Rmsprop}, and \textsc{Adam} are widely used in solving large-scale machine learning problems includin…