265 citations · 1k across the 84 of their papers we have counts for
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On the Inherent Privacy of Zeroth Order Projected Gradient Descent
Devansh Gupta, Meisam Razaviyayn, Vatsal Sharan
Differentially private zeroth-order optimization methods have recently gained popularity in private fine tuning of machine learning models due to their reduced memory requirements.…
Incentive Systems for Fleets of New Mobility Services
Ali Ghafelebashi, Meisam Razaviyayn, Maged Dessouky
Traffic congestion has become an inevitable challenge in large cities due to population increases and expansion of urban areas. Various approaches are introduced to mitigate traffi…
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanović
We study momentum-based first-order optimization algorithms in which the iterations utilize information from the two previous steps and are subject to an additive white noise. This…
Congestion Reduction via Personalized Incentives
Ali Ghafelebashi, Meisam Razaviyayn, Maged Dessouky
With rapid population growth and urban development, traffic congestion has become an inescapable issue, especially in large cities. Many congestion reduction strategies have been p…
Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
Dmitrii M. Ostrovskii, Babak Barazandeh, Meisam Razaviyayn
We study the problem of finding approximate first-order stationary points in optimization problems of the form , where the sets are conv…
Alternating Direction Method of Multipliers for Quantization
Tianjian Huang, Prajwal Singhania, Maziar Sanjabi +2
Quantization of the parameters of machine learning models, such as deep neural networks, requires solving constrained optimization problems, where the constraint set is formed by t…