Shana Moothedath
Orcid: 0000-0001-6091-2384
According to our database1,
Shana Moothedath
authored at least 45 papers
between 2016 and 2024.
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Bibliography
2024
RL-ARNE: A Reinforcement Learning Algorithm for Computing Average Reward Nash Equilibrium of Nonzero-Sum Stochastic Games.
IEEE Trans. Autom. Control., November, 2024
Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach.
IEEE Trans. Autom. Control., October, 2024
Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis.
Entropy, July, 2024
Stochastic Dynamic Information Flow Tracking game using supervised learning for detecting advanced persistent threats.
Autom., January, 2024
IEEE Control. Syst. Lett., 2024
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints.
CoRR, 2024
Proceedings of the IEEE International Symposium on Information Theory, 2024
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Decentralized Low Rank Matrix Recovery from Column-Wise Projections by Alternating GD and Minimization.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the European Control Conference, 2023
Proceedings of the European Control Conference, 2023
Proceedings of the American Control Conference, 2023
Proceedings of the 59th Annual Allerton Conference on Communication, 2023
2022
Fully-Decentralized Alternating Projected Gradient Descent for Low Rank column-wise Compressive Sensing.
CoRR, 2022
Dec-AltProjGDmin: Fully-Decentralized Alternating Projected Gradient Descent for Low Rank Column-wise Compressive Sensing.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
2021
2020
IEEE Trans. Control. Netw. Syst., 2020
A Game-Theoretic Approach for Dynamic Information Flow Tracking to Detect Multistage Advanced Persistent Threats.
IEEE Trans. Autom. Control., 2020
Minimum Cost Feedback Selection in Structured Systems: Hardness and Approximation Algorithm.
IEEE Trans. Autom. Control., 2020
A Multi-Agent Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Advanced Persistent Threats.
CoRR, 2020
Proceedings of the 11th ACM/IEEE International Conference on Cyber-Physical Systems, 2020
2019
Sparsest Feedback Selection for Structurally Cyclic Systems With Dedicated Actuators and Sensors in Polynomial Time.
IEEE Trans. Autom. Control., 2019
Approximating constrained minimum cost input-output selection for generic arbitrary pole placement in structured systems.
Autom., 2019
Optimal selection of essential interconnections for structural controllability in heterogeneous subsystems.
Autom., 2019
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019
Proceedings of the 17th European Control Conference, 2019
Dynamic Information Flow Tracking Games for Simultaneous Detection of Multiple Attackers.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Learning Equilibria in Stochastic Information Flow Tracking Games with Partial Knowledge.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 2019 American Control Conference, 2019
A Game Theoretic Approach for Dynamic Information Flow Tracking with Conditional Branching.
Proceedings of the 2019 American Control Conference, 2019
Optimal Network Topology Design in Composite Systems with Constrained Neighbors for Structural Controllability.
Proceedings of the 2019 American Control Conference, 2019
2018
IEEE Trans. Autom. Control., 2018
A Flow-Network-Based Polynomial-Time Approximation Algorithm for the Minimum Constrained Input Structural Controllability Problem.
IEEE Trans. Autom. Control., 2018
A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats.
CoRR, 2018
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018
A Randomized Algorithm for Minimum Cost Constrained Input Selection for State Space Structural Controllability.
Proceedings of the 16th European Control Conference, 2018
2017
Rapidly Mixing Markov Chain Monte Carlo Technique for Matching Problems with Global Utility Function.
CoRR, 2017
2016
Proceedings of the Fifth International Conference on Network, Communication and Computing, 2016