Hesameddin Mohammadi

28 papers C 9Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2025 C conf
On the stability properties of gradient flow dynamics for a symmetric low-rank matrix factorization problem.
ACC
Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2025 J jnl
Tradeoffs Between Convergence Rate and Noise Amplification for Momentum-Based Accelerated Optimization Algorithms.
IEEE Trans. Autom. Control.
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
2024 J jnl
Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem.
CoRR
Hesameddin Mohammadi, Mohammad Tinati, Stephen Tu, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2023 J jnl
Computing Stabilizing Feedback Gains via a Model-Free Policy Gradient Method.
IEEE Control. Syst. Lett.
Ibrahim Kurban Özaslan, Hesameddin Mohammadi, Mihailo R. Jovanovic
2023 C conf
Noise amplifiation of momentum-based optimization algorithms.
ACC
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
2023 — conf
Performance of Noisy Three-Step Accelerated First-Order Optimization Algorithms for Strongly Convex Quadratic Problems.
CDC
Samantha Samuelson, Hesameddin Mohammadi, Mihailo R. Jovanovic
2023 C conf
Performance of noisy higher-order accelerated gradient flow dynamics for strongly convex quadratic optimization problems.
ACC
Samantha Samuelson, Hesameddin Mohammadi, Mihailo R. Jovanovic
2023 J jnl
Transient Growth of Accelerated Optimization Algorithms.
IEEE Trans. Autom. Control.
Hesameddin Mohammadi, Samantha Samuelson, Mihailo R. Jovanovic
2022 J jnl
Convergence and Sample Complexity of Gradient Methods for the Model-Free Linear-Quadratic Regulator Problem.
IEEE Trans. Autom. Control.
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2022 C conf
On the noise amplification of primal-dual gradient flow dynamics based on proximal augmented Lagrangian.
ACC
Hesameddin Mohammadi, Mihailo R. Jovanovic
2022 J jnl
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms.
CoRR
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
2021 J jnl
On the Linear Convergence of Random Search for Discrete-Time LQR.
IEEE Control. Syst. Lett.
Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2021 — conf
On the lack of gradient domination for linear quadratic Gaussian problems with incomplete state information.
CDC
Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2021 J jnl
Robustness of Accelerated First-Order Algorithms for Strongly Convex Optimization Problems.
IEEE Trans. Autom. Control.
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
2021 J jnl
Transient growth of accelerated first-order methods for strongly convex optimization problems.
CoRR
Hesameddin Mohammadi, Samantha Samuelson, Mihailo R. Jovanovic
2020 — conf
Learning the model-free linear quadratic regulator via random search.
L4DC
Hesameddin Mohammadi, Mihailo R. Jovanovic, Mahdi Soltanolkotabi
2020 — conf
On the transient growth of Nesterov's accelerated method for strongly convex optimization problems.
CDC
Samantha Samuelson, Hesameddin Mohammadi, Mihailo R. Jovanovic
2020 J jnl
Proximal Algorithms for Large-Scale Statistical Modeling and Sensor/Actuator Selection.
IEEE Trans. Autom. Control.
Armin Zare, Hesameddin Mohammadi, Neil K. Dhingra, Tryphon T. Georgiou, Mihailo R. Jovanovic
2020 C conf
Random search for learning the linear quadratic regulator.
ACC
Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2020 C conf
Transient growth of accelerated first-order methods.
ACC
Samantha Samuelson, Hesameddin Mohammadi, Mihailo R. Jovanovic
2019 J jnl
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem.
CoRR
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2019 — conf
Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator.
CDC
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2019 C conf
Performance of noisy Nesterov's accelerated method for strongly convex optimization problems.
ACC
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
2019 J jnl
Robustness of accelerated first-order algorithms for strongly convex optimization problems.
CoRR
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
2018 C conf
Combining SOS with Branch and Bound to Isolate Global Solutions of Polynomial Optimization Problems.
ACC
Brendon K. Colbert, Hesameddin Mohammadi, Matthew M. Peet
2018 C conf
On the stability of gradient flow dynamics for a rank-one matrix approximation problem.
ACC
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
2018 — conf
Variance Amplification of Accelerated First-Order Algorithms for Strongly Convex Quadratic Optimization Problems.
CDC
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic
2017 — conf
Estimating the region of attraction using polynomial optimization: A converse Lyapunov result.
CDC
Morgan Jones, Hesameddin Mohammadi, Matthew M. Peet