Hesameddin Mohammadi
Orcid: 0000-0003-3030-1536
According to our database1,
Hesameddin Mohammadi
authored at least 23 papers
between 2017 and 2023.
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Bibliography
2023
IEEE Trans. Autom. Control., March, 2023
IEEE Control. Syst. Lett., 2023
Performance of Noisy Three-Step Accelerated First-Order Optimization Algorithms for Strongly Convex Quadratic Problems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Performance of noisy higher-order accelerated gradient flow dynamics for strongly convex quadratic optimization problems.
Proceedings of the American Control Conference, 2023
Proceedings of the American Control Conference, 2023
2022
Convergence and Sample Complexity of Gradient Methods for the Model-Free Linear-Quadratic Regulator Problem.
IEEE Trans. Autom. Control., 2022
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms.
CoRR, 2022
On the noise amplification of primal-dual gradient flow dynamics based on proximal augmented Lagrangian.
Proceedings of the American Control Conference, 2022
2021
Robustness of Accelerated First-Order Algorithms for Strongly Convex Optimization Problems.
IEEE Trans. Autom. Control., 2021
IEEE Control. Syst. Lett., 2021
Transient growth of accelerated first-order methods for strongly convex optimization problems.
CoRR, 2021
On the lack of gradient domination for linear quadratic Gaussian problems with incomplete state information.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Proximal Algorithms for Large-Scale Statistical Modeling and Sensor/Actuator Selection.
IEEE Trans. Autom. Control., 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
On the transient growth of Nesterov's accelerated method for strongly convex optimization problems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Performance of noisy Nesterov's accelerated method for strongly convex optimization problems.
Proceedings of the 2019 American Control Conference, 2019
2018
Variance Amplification of Accelerated First-Order Algorithms for Strongly Convex Quadratic Optimization Problems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
On the stability of gradient flow dynamics for a rank-one matrix approximation problem.
Proceedings of the 2018 Annual American Control Conference, 2018
Combining SOS with Branch and Bound to Isolate Global Solutions of Polynomial Optimization Problems.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Estimating the region of attraction using polynomial optimization: A converse Lyapunov result.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017