15 citations · 25 across the 6 of their papers we have counts for
6 papers
Certainty Equivalent Quadratic Control for Markov Jump Systems
Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh +3
Real-world control applications often involve complex dynamics subject to abrupt changes or variations. Markov jump linear systems (MJS) provide a rich framework for modeling such…
Solving a class of non-convex min-max games using adaptive momentum methods
Babak Barazandeh, Davoud Ataee Tarzanagh, George Michailidis
Adaptive momentum methods have recently attracted a lot of attention for training of deep neural networks. They use an exponential moving average of past gradients of the objective…
A Newton-Type Active Set Method for Nonlinear Optimization with Polyhedral Constraints
William W. Hager, Davoud Ataee Tarzanagh
A Newton-type active set algorithm for large-scale minimization subject to polyhedral constraints is proposed. The algorithm consists of a gradient projection step, a second-order…
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…
Online Distributed Estimation of Principal Eigenspaces
Davoud Ataee Tarzanagh, Mohamad Kazem Shirani Faradonbeh, George Michailidis
Principal components analysis (PCA) is a widely used dimension reduction technique with an extensive range of applications. In this paper, an online distributed algorithm is propos…
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…