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

Fast and Sample-Efficient Relevance-Based Multi-Task Representation Learning.
IEEE Control. Syst. Lett., 2024

Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints.
CoRR, 2024

Federated Learning for Heterogeneous Bandits with Unobserved Contexts.
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

Distributed Stochastic Contextual Bandits for Protein Drug Interaction.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Minimal Input Structural Modifications for Strongly Structural Controllability.
CoRR, 2023

Federated Stochastic Bandit Learning with Unobserved Context.
CoRR, 2023

Comparing Decentralized Gradient Descent Approaches and Guarantees.
Proceedings of the IEEE International Conference on Acoustics, 2023

Distributed Stochastic Bandits with Hidden Contexts.
Proceedings of the European Control Conference, 2023

Distributed Stochastic Bandit Learning with Delayed Context Observation.
Proceedings of the European Control Conference, 2023

Feature Selection in Distributed Stochastic Linear Bandits.
Proceedings of the American Control Conference, 2023

Fast Federated Low Rank Matrix Completion.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
Distributed Stochastic Bandit Learning with Context Distributions.
CoRR, 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

Stochastic Conservative Contextual Linear Bandits.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Fully Decentralized and Federated Low Rank Compressive Sensing.
Proceedings of the American Control Conference, 2022

2021
Feedback Robustness in Structured Closed-loop System.
Eur. J. Control, 2021

2020
Optimal Network Topology Design in Composite Systems for Structural Controllability.
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

Quickest Detection of Advanced Persistent Threats: A Semi-Markov Game Approach.
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

Stochastic Dynamic Information Flow Tracking Game with Reinforcement Learning.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

Target Controllability of Structured Systems.
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

Minimizing Inputs for Strong Structural Controllability.
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
Minimum Cost Feedback Selection for Arbitrary Pole Placement in Structured Systems.
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

Multi-stage Dynamic Information Flow Tracking Game.
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
An MCMC Based Course to Teaching Assistant Allocation.
Proceedings of the Fifth International Conference on Network, Communication and Computing, 2016


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