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Publications about 'Noise amplification'


S. Samuelson.
Performance tradeoffs of accelerated firstorder optimization algorithms.
PhD thesis,
University of Southern California,
2024.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convergence rate,
Convex optimization,
Gradient descent,
Gradientflow dynamics,
Heavyball method,
Nesterov's accelerated method,
Nonnormal dynamics,
Noise amplification,
Optimization,
Transient growth.
[bibtexentry]

H. Mohammadi.
Robustness of gradient methods for datadriven decision making.
PhD thesis,
University of Southern California,
2022.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convergence rate,
Convex optimization,
Datadriven control,
Gradient descent,
Gradientflow dynamics,
Heavyball method,
Integral quadratic constraints,
Linear quadratic regulator,
Modelfree control,
Nesterov's accelerated method,
Nonconvex optimization,
Nonnormal dynamics,
Noise amplification,
Optimization,
Optimal control,
PolyakLojasiewicz inequality,
Random search method,
Reinforcement learning,
Sample complexity,
Secondorder moments,
Transient growth.
[bibtexentry]

H. Mohammadi,
M. Razaviyayn,
and M. R. Jovanovic.
Tradeoffs between convergence rate and noise amplification for momentumbased accelerated optimization algorithms.
IEEE Trans. Automat. Control,
2024.
Note: Doi:10.1109/TAC.2024.3453656.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convergence rate,
Convex optimization,
Gradient descent,
Fundamental limitations,
Heavyball method,
Nesterov's accelerated method,
Nonnormal dynamics,
Noise amplification,
Secondorder moments.
[bibtexentry]

L. Ballotta,
M. R. Jovanovic,
and L. Schenato.
Can decentralized control outperform centralized? The role of communication latency.
IEEE Trans. Control Netw. Syst.,
10(3):16291640,
September 2023.
Keyword(s): Controller architecture,
Fundamental limitations,
Networks,
Networks of dynamical systems,
Noise amplification,
Performance bounds,
Topology design.
[bibtexentry]

H. Mohammadi,
M. Razaviyayn,
and M. R. Jovanovic.
Robustness of accelerated firstorder algorithms for strongly convex optimization problems.
IEEE Trans. Automat. Control,
66(6):24802495,
June 2021.
Keyword(s): Accelerated firstorder algorithms,
Consensus networks,
Control for optimization,
Convex optimization,
Integral quadratic constraints,
Linear matrix inequalities,
Noise amplification,
Secondorder moments,
Semidefinite programming.
[bibtexentry]

S. Samuelson and M. R. Jovanovic.
Tradeoffs between convergence speed and noise amplification in firstorder optimization: the role of averaging.
In Proceedings of the 2024 American Control Conference,
Toronto, Canada,
pages 650655,
2024.
Keyword(s): Accelerated firstorder algorithms,
Averaging,
Control for optimization,
Convergence rate,
Convex optimization,
Gradient flow dynamics,
Noise amplification,
Nonnormal dynamics,
Twostep momentum algorithm.
[bibtexentry]

A. Dwivedi and M. R. Jovanovic.
Noise amplification in hypersonic blunt body flows.
In Proceedings of the 2023 AIAA Aviation and Aeronautics Forum,
San Diego, CA,
pages 3709 (12 pages),
2023.
Keyword(s): Compressible flows,
Inputoutput analysis,
Energy amplification,
Flow modeling and control,
Highspeed compressible boundary layers,
Hypersonic flows,
Transition to turbulence.
[bibtexentry]

H. Mohammadi,
M. Razaviyayn,
and M. R. Jovanovic.
Noise amplification of momentumbased optimization algorithms.
In Proceedings of the 2023 American Control Conference,
San Diego, CA,
pages 849854,
2023.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convergence rate,
Convex optimization,
Gradient descent,
Heavyball method,
Nesterov's accelerated method,
Noise amplification,
Nonnormal dynamics,
Twostep momentum algorithm.
[bibtexentry]

S. Samuelson,
H. Mohammadi,
and M. R. Jovanovic.
Performance of noisy higherorder accelerated gradient flow dynamics for strongly convex quadratic optimization problems.
In Proceedings of the 2023 American Control Conference,
San Diego, CA,
pages 38393844,
2023.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convergence rate,
Convex optimization,
Gradient flow dynamics,
Noise amplification,
Nonnormal dynamics,
Twostep momentum algorithm.
[bibtexentry]

S. Samuelson,
H. Mohammadi,
and M. R. Jovanovic.
Performance of noisy threestep accelerated firstorder optimization algorithms for strongly convex quadratic problems.
In Proceedings of the 62nd IEEE Conference on Decision and Control,
Singapore,
pages 13001305,
2023.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convergence rate,
Convex optimization,
Gradient flow dynamics,
Noise amplification,
Nonnormal dynamics,
Threestep momentum algorithm.
[bibtexentry]

L. Ballotta,
M. R. Jovanovic,
and L. Schenato.
Can decentralized control outperform centralized? The role of communication latency.
In Proceedings of the 2022 IFAC Conference on Networked Systems,
Zurich, Switzerland,
2022.
Keyword(s): Controller architecture,
Fundamental limitations,
Networks,
Networks of dynamical systems,
Noise amplification,
Performance bounds,
Topology design.
[bibtexentry]

H. Mohammadi and M. R. Jovanovic.
On the noise amplification of primaldual gradient flow dynamics based on proximal augmented Lagrangian.
In Proceedings of the 2022 American Control Conference,
Atlanta, GA,
pages 926931,
2022.
Keyword(s): Control for optimization,
Convex Optimization,
Integral quadratic constraints,
Linear matrix inequalities,
Noise amplification,
Nonsmooth optimization,
Proximal algorithms,
Primaldual gradient flow dynamics,
Primaldual methods,
Proximal augmented Lagrangian,
Secondorder moments,
Semidefinite programming.
[bibtexentry]

L. Ballotta,
M. R. Jovanovic,
and L. Schenato.
Optimal network topology of multiagent systems subject to computation and communication latency.
In Proceedings of the 29th Mediterranean Conference on Control and Automation,
Bari, Italy,
pages 249254,
2021.
Keyword(s): Controller architecture,
Fundamental limitations,
Networks,
Networks of dynamical systems,
Noise amplification,
Performance bounds,
Topology design.
[bibtexentry]

H. Mohammadi,
M. Razaviyayn,
and M. R. Jovanovic.
Performance of noisy Nesterov's accelerated method for strongly convex optimization problems.
In Proceedings of the 2019 American Control Conference,
Philadelphia, PA,
pages 34263431,
2019.
Keyword(s): Accelerated firstorder algorithms,
Control for optimization,
Convex optimization,
Integral quadratic constraints,
Linear matrix inequalities,
Noise amplification,
Secondorder moments,
Semidefinite programming.
[bibtexentry]
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Last modified: Sat Oct 5 22:00:41 2024
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