Saeed Ghadimi
About
Saeed Ghadimi has authored 17 papers that have received a total of 1.1k indexed citations.
This includes 13 papers in Artificial Intelligence, 11 papers in Computational Mechanics and 8 papers in Management Science and Operations Research. The topics of these papers are Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (11 papers) and Advanced Bandit Algorithms Research (5 papers). Saeed Ghadimi is often cited by papers focused on Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (11 papers) and Advanced Bandit Algorithms Research (5 papers) and collaborates with scholars based in United States, Canada and Iran. Saeed Ghadimi's co-authors include Guanghui Lan, Krishnakumar Balasubramanian, Reza Zanjirani Farahani, Hongchao Zhang and Andrew Houck and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and Mathematical Programming
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