Mahyar Fazlyab

According to our database1, Mahyar Fazlyab authored at least 23 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Performance Bounds for Neural Network Estimators: Applications in Fault Detection.
CoRR, 2021

2020
A Control-Theoretic Approach to Analysis and Parameter Selection of Douglas-Rachford Splitting.
IEEE Control. Syst. Lett., 2020

Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization.
CoRR, 2020

Enforcing robust control guarantees within neural network policies.
CoRR, 2020

Stability Analysis of Complementarity Systems with Neural Network Controllers.
CoRR, 2020

Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming.
CoRR, 2019

Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Prediction-Correction Primal-Dual Algorithm for Distributed Optimization.
Proceedings of the 2019 American Control Conference, 2019

Robust Convergence Analysis of Three-Operator Splitting.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization.
IEEE Trans. Autom. Control., 2018

Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems.
SIAM J. Optim., 2018

A Chebyshev-Accelerated Primal-Dual Method for Distributed Optimization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Design of First-Order Optimization Algorithms via Sum-of-Squares Programming.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Distributed Smooth and Strongly Convex Optimization with Inexact Dual Methods.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Optimal network design for synchronization of coupled oscillators.
Autom., 2017

A variational approach to dual methods for constrained convex optimization.
Proceedings of the 2017 American Control Conference, 2017

A dynamical systems perspective to convergence rate analysis of proximal algorithms.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Self-triggered time-varying convex optimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Interior point method for dynamic constrained optimization in continuous time.
Proceedings of the 2016 American Control Conference, 2016

2014
Robust topology identification and control of LTI networks.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014


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