Shana Moothedath

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 47

Top Topics

Information Flow

Compressive Sensing

Top Venues

IEEE Trans. Autom. Control.

Publications

Shana Moothedath, Namrata Vaswani
Decentralized Low Rank Matrix Recovery from Column-Wise Projections by Alternating GD and Minimization. ICASSP (2024)
Jiabin Lin, Shana Moothedath
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints. CoRR (2024)
Jiabin Lin, Shana Moothedath
Fast and Sample-Efficient Relevance-Based Multi-Task Representation Learning. IEEE Control. Syst. Lett. 8 (2024)
Jiabin Lin, Karuna Anna Sajeevan, Bibek Acharya, Shana Moothedath, Ratul Chowdhury
Distributed Stochastic Contextual Bandits for Protein Drug Interaction. ICASSP (2024)
Sharu Theresa Jose, Shana Moothedath
Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. Entropy 26 (7) (2024)
Shana Moothedath, Dinuka Sahabandu, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
Stochastic Dynamic Information Flow Tracking game using supervised learning for detecting advanced persistent threats. Autom. 159 (2024)
Sharu Theresa Jose, Shana Moothedath
Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. CoRR (2024)
Geethu Joseph, Shana Moothedath, Jiabin Lin
Minimal Input Structural Modifications for Strongly Structural Controllability. CoRR (2023)
Jiabin Lin, Shana Moothedath
Distributed Stochastic Bandits with Hidden Contexts. ECC (2023)
Ahmed Ali Abbasi, Shana Moothedath, Namrata Vaswani
Fast Federated Low Rank Matrix Completion. Allerton (2023)
Shana Moothedath, Namrata Vaswani
Comparing Decentralized Gradient Descent Approaches and Guarantees. ICASSP (2023)
Jiabin Lin, Shana Moothedath
Federated Stochastic Bandit Learning with Unobserved Context. CoRR (2023)
Jiabin Lin, Shana Moothedath
Feature Selection in Distributed Stochastic Linear Bandits. ACC (2023)
Jiabin Lin, Shana Moothedath
Distributed Stochastic Bandit Learning with Delayed Context Observation. ECC (2023)
Shana Moothedath, Namrata Vaswani
Fully-Decentralized Alternating Projected Gradient Descent for Low Rank column-wise Compressive Sensing. CoRR (2022)
Jiabin Lin, Shana Moothedath
Distributed Stochastic Bandit Learning with Context Distributions. CoRR (2022)
Shana Moothedath, Namrata Vaswani
Dec-AltProjGDmin: Fully-Decentralized Alternating Projected Gradient Descent for Low Rank Column-wise Compressive Sensing. CDC (2022)
Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
Stochastic Conservative Contextual Linear Bandits. CDC (2022)
Shana Moothedath, Namrata Vaswani
Fully Decentralized and Federated Low Rank Compressive Sensing. ACC (2022)
Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
Stochastic Conservative Contextual Linear Bandits. CoRR (2022)
Shana Moothedath, Namrata Vaswani
Fully Decentralized and Federated Low Rank Compressive Sensing. CoRR (2021)
RaviTeja Gundeti, Shana Moothedath, Prasanna Chaporkar
Feedback Robustness in Structured Closed-loop System. Eur. J. Control 57 (2021)
Shana Moothedath, Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran
A Game-Theoretic Approach for Dynamic Information Flow Tracking to Detect Multistage Advanced Persistent Threats. IEEE Trans. Autom. Control. 65 (12) (2020)
Shana Moothedath, Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran
Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach. CoRR (2020)
Dinuka Sahabandu, Shana Moothedath, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
A Multi-Agent Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Advanced Persistent Threats. CoRR (2020)
Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
Optimal Network Topology Design in Composite Systems for Structural Controllability. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Shana Moothedath, Dinuka Sahabandu, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats. CoRR (2020)
Dinuka Sahabandu, Joey Allen, Shana Moothedath, Linda Bushnell, Wenke Lee, Radha Poovendran
Quickest Detection of Advanced Persistent Threats: A Semi-Markov Game Approach. ICCPS (2020)
Aishwary Joshi, Shana Moothedath, Prasanna Chaporkar
Minimum Cost Feedback Selection in Structured Systems: Hardness and Approximation Algorithm. IEEE Trans. Autom. Control. 65 (12) (2020)
Dinuka Sahabandu, Shana Moothedath, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran
Dynamic Information Flow Tracking Games for Simultaneous Detection of Multiple Attackers. CDC (2019)
Shruti Misra, Shana Moothedath, Hossein Hosseini, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
Learning Equilibria in Stochastic Information Flow Tracking Games with Partial Knowledge. CDC (2019)
Kumar Yashashwi, Shana Moothedath, Prasanna Chaporkar
Minimizing Inputs for Strong Structural Controllability. ACC (2019)
Shana Moothedath, Kumar Yashashwi, Prasanna Chaporkar, Madhu N. Belur
Target Controllability of Structured Systems. ECC (2019)
Shana Moothedath, Prasanna Chaporkar, Aishwary Joshi
Optimal Network Topology Design in Composite Systems with Constrained Neighbors for Structural Controllability. ACC (2019)
Dinuka Sahabandu, Shana Moothedath, Linda Bushnell, Radha Poovendran, Joey Allen, Wenke Lee, Andrew Clark
A Game Theoretic Approach for Dynamic Information Flow Tracking with Conditional Branching. ACC (2019)
Dinuka Sahabandu, Shana Moothedath, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
Stochastic Dynamic Information Flow Tracking Game with Reinforcement Learning. GameSec (2019)
Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
Approximating constrained minimum cost input-output selection for generic arbitrary pole placement in structured systems. Autom. 107 (2019)
Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
Optimal selection of essential interconnections for structural controllability in heterogeneous subsystems. Autom. 103 (2019)
Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
Sparsest Feedback Selection for Structurally Cyclic Systems With Dedicated Actuators and Sensors in Polynomial Time. IEEE Trans. Autom. Control. 64 (9) (2019)
Shana Moothedath, Dinuka Sahabandu, Andrew Clark, Sangho Lee, Wenke Lee, Radha Poovendran
Multi-stage Dynamic Information Flow Tracking Game. GameSec (2018)
Shana Moothedath, Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran
A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats. CoRR (2018)
Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
A Flow-Network-Based Polynomial-Time Approximation Algorithm for the Minimum Constrained Input Structural Controllability Problem. IEEE Trans. Autom. Control. 63 (9) (2018)
Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
A Randomized Algorithm for Minimum Cost Constrained Input Selection for State Space Structural Controllability. ECC (2018)
Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
Minimum Cost Feedback Selection for Arbitrary Pole Placement in Structured Systems. IEEE Trans. Autom. Control. 63 (11) (2018)
Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
Approximating Constrained Minimum Cost Input-Output Selection for Generic Arbitrary Pole Placement in Structured Systems. CoRR (2017)
Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
Rapidly Mixing Markov Chain Monte Carlo Technique for Matching Problems with Global Utility Function. CoRR (2017)
Saurabh Kumar, Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
An MCMC Based Course to Teaching Assistant Allocation. ICNCC (2016)