Davood Hajinezhad

According to our database, Davood Hajinezhad authored at least 12 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A review of cooperative multi-agent deep reinforcement learning.

Afshin Oroojlooy, Davood Hajinezhad

Appl. Intell., June, 2023

2022

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods.

Farshad Saberi-Movahed, Mahyar Mohammadifard, Adel Mehrpooya, Mohammad Rezaei-Ravari, Kamal Berahmand, Mehrdad Rostami, Saeed Karami, Mohammad Najafzadeh, Davood Hajinezhad, Mina Jamshidi, Farshid Abedi, Mahtab Mohammadifard, Elnaz Farbod, Farinaz Safavi, Mohammadreza Dorvash, Negar Mottaghi-Dastjerdi, Shahrzad Vahedi, Mahdi Eftekhari, Farid Saberi-Movahed, Hamid Alinejad-Rokny, Shahab S. Band, Iman Tavassoly

Comput. Biol. Medicine, 2022

2020

AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control.

Afshin Oroojlooy, MohammadReza Nazari, Davood Hajinezhad, Jorge Silva

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

ZONE: Zeroth-Order Nonconvex Multiagent Optimization Over Networks.

Davood Hajinezhad, Mingyi Hong, Alfredo Garcia

IEEE Trans. Autom. Control., 2019

Perturbed proximal primal-dual algorithm for nonconvex nonsmooth optimization.

Davood Hajinezhad, Mingyi Hong

Math. Program., 2019

Reduced variance deep reinforcement learning with temporal logic specifications.

Qitong Gao, Davood Hajinezhad, Yan Zhang, Yiannis Kantaros, Michael M. Zavlanos

Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

2018

Alternating direction method of multipliers for a class of nonconvex bilinear optimization: convergence analysis and applications.

Davood Hajinezhad, Qingjiang Shi

J. Glob. Optim., 2018

Gradient-Free Multi-Agent Nonconvex Nonsmooth Optimization.

Davood Hajinezhad, Michael M. Zavlanos

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks.

Mingyi Hong, Davood Hajinezhad, Ming-Min Zhao

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization.

Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Nonnegative matrix factorization using ADMM: Algorithm and convergence analysis.

Davood Hajinezhad, Tsung-Hui Chang, Xiangfeng Wang, Qingjiang Shi, Mingyi Hong

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Nonconvex alternating direction method of multipliers for distributed sparse principal component analysis.

Davood Hajinezhad, Mingyi Hong

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015