Shana Moothedath

61 papers A* 1B 1C 5Misc 3Journal 36Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Centralization: Provable Communication Efficient Decentralized Multi-Task Learning. CoRR Donghwa Kang, Shana Moothedath
2025	J	`jnl`	Byzantine Resilient Federated Multi-Task Representation Learning. CoRR Tuan Le, Shana Moothedath
2025	J	`jnl`	Diffusion-based Decentralized Federated Multi-Task Representation Learning. CoRR Donghwa Kang, Shana Moothedath
2025	J	`jnl`	Distributed Multi-Task Learning for Stochastic Bandits With Context Distribution and Stage-Wise Constraints. IEEE Trans. Signal Inf. Process. over Networks Jiabin Lin, Shana Moothedath
2025	J	`jnl`	Energy-Aware 6G Network Design: A Survey. CoRR Rashmi Kamran, Mahesh Ganesh Bhat, Pranav Jha, Shana Moothedath, Manjesh Kumar Hanawal, Prasanna Chaporkar
2025	—	`conf`	Neural Contextual Bandits Under Delayed Feedback Constraints. CDC Mohammadali Moghimi, Sharu Theresa Jose, Shana Moothedath
2025	J	`jnl`	Neural Contextual Bandits Under Delayed Feedback Constraints. CoRR Mohammadali Moghimi, Sharu Theresa Jose, Shana Moothedath
2025	J	`jnl`	Provable Active Multi-Task Representation Learning. IEEE Trans. Signal Process. Jiabin Lin, Shana Moothedath, Tuan Anh Le
2024	Misc	`conf`	Decentralized Low Rank Matrix Recovery from Column-Wise Projections by Alternating GD and Minimization. ICASSP Shana Moothedath, Namrata Vaswani
2024	J	`jnl`	Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints. CoRR Jiabin Lin, Shana Moothedath
2024	Misc	`conf`	Distributed Stochastic Contextual Bandits for Protein Drug Interaction. ICASSP Jiabin Lin, Karuna Anna Sajeevan, Bibek Acharya, Shana Moothedath, Ratul Chowdhury
2024	J	`jnl`	Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach. IEEE Trans. Autom. Control. Shana Moothedath, Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran
2024	A*	`conf`	Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits. ICML Jiabin Lin, Shana Moothedath, Namrata Vaswani
2024	J	`jnl`	Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits. CoRR Jiabin Lin, Shana Moothedath, Namrata Vaswani
2024	J	`jnl`	Fast and Sample-Efficient Relevance-Based Multi-Task Representation Learning. IEEE Control. Syst. Lett. Jiabin Lin, Shana Moothedath
2024	B	`conf`	Federated Learning for Heterogeneous Bandits with Unobserved Contexts. ISIT Jiabin Lin, Shana Moothedath
2024	—	`conf`	Minimal Input Structural Modifications for Strongly Structural Controllability. CDC Geethu Joseph, Shana Moothedath, Jiabin Lin
2024	J	`jnl`	RL-ARNE: A Reinforcement Learning Algorithm for Computing Average Reward Nash Equilibrium of Nonzero-Sum Stochastic Games. IEEE Trans. Autom. Control. Dinuka Sahabandu, Shana Moothedath, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
2024	J	`jnl`	Stochastic Dynamic Information Flow Tracking game using supervised learning for detecting advanced persistent threats. Autom. Shana Moothedath, Dinuka Sahabandu, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
2024	J	`jnl`	Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. CoRR Sharu Theresa Jose, Shana Moothedath
2024	J	`jnl`	Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. Entropy Sharu Theresa Jose, Shana Moothedath
2023	Misc	`conf`	Comparing Decentralized Gradient Descent Approaches and Guarantees. ICASSP Shana Moothedath, Namrata Vaswani
2023	—	`conf`	Distributed Stochastic Bandit Learning with Delayed Context Observation. ECC Jiabin Lin, Shana Moothedath
2023	—	`conf`	Distributed Stochastic Bandits with Hidden Contexts. ECC Jiabin Lin, Shana Moothedath
2023	—	`conf`	Fast Federated Low Rank Matrix Completion. Allerton Ahmed Ali Abbasi, Shana Moothedath, Namrata Vaswani
2023	C	`conf`	Feature Selection in Distributed Stochastic Linear Bandits. ACC Jiabin Lin, Shana Moothedath
2023	J	`jnl`	Federated Stochastic Bandit Learning with Unobserved Context. CoRR Jiabin Lin, Shana Moothedath
2023	J	`jnl`	Minimal Input Structural Modifications for Strongly Structural Controllability. CoRR Geethu Joseph, Shana Moothedath, Jiabin Lin
2022	—	`conf`	Dec-AltProjGDmin: Fully-Decentralized Alternating Projected Gradient Descent for Low Rank Column-wise Compressive Sensing. CDC Shana Moothedath, Namrata Vaswani
2022	J	`jnl`	Distributed Stochastic Bandit Learning with Context Distributions. CoRR Jiabin Lin, Shana Moothedath
2022	C	`conf`	Fully Decentralized and Federated Low Rank Compressive Sensing. ACC Shana Moothedath, Namrata Vaswani
2022	J	`jnl`	Fully-Decentralized Alternating Projected Gradient Descent for Low Rank column-wise Compressive Sensing. CoRR Shana Moothedath, Namrata Vaswani
2022	—	`conf`	Stochastic Conservative Contextual Linear Bandits. CDC Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
2022	J	`jnl`	Stochastic Conservative Contextual Linear Bandits. CoRR Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
2021	J	`jnl`	Feedback Robustness in Structured Closed-loop System. Eur. J. Control RaviTeja Gundeti, Shana Moothedath, Prasanna Chaporkar
2021	J	`jnl`	Fully Decentralized and Federated Low Rank Compressive Sensing. CoRR Shana Moothedath, Namrata Vaswani
2020	J	`jnl`	A Game-Theoretic Approach for Dynamic Information Flow Tracking to Detect Multistage Advanced Persistent Threats. IEEE Trans. Autom. Control. Shana Moothedath, Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran
2020	J	`jnl`	A Multi-Agent Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Advanced Persistent Threats. CoRR Dinuka Sahabandu, Shana Moothedath, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
2020	J	`jnl`	Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach. CoRR Shana Moothedath, Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran
2020	J	`jnl`	Minimum Cost Feedback Selection in Structured Systems: Hardness and Approximation Algorithm. IEEE Trans. Autom. Control. Aishwary Joshi, Shana Moothedath, Prasanna Chaporkar
2020	J	`jnl`	Optimal Network Topology Design in Composite Systems for Structural Controllability. IEEE Trans. Control. Netw. Syst. Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
2020	—	`conf`	Quickest Detection of Advanced Persistent Threats: A Semi-Markov Game Approach. ICCPS Dinuka Sahabandu, Joey Allen, Shana Moothedath, Linda Bushnell, Wenke Lee, Radha Poovendran
2020	J	`jnl`	Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats. CoRR Shana Moothedath, Dinuka Sahabandu, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
2019	C	`conf`	A Game Theoretic Approach for Dynamic Information Flow Tracking with Conditional Branching. ACC Dinuka Sahabandu, Shana Moothedath, Linda Bushnell, Radha Poovendran, Joey Allen, Wenke Lee, Andrew Clark
2019	J	`jnl`	Approximating constrained minimum cost input-output selection for generic arbitrary pole placement in structured systems. Autom. Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
2019	—	`conf`	Dynamic Information Flow Tracking Games for Simultaneous Detection of Multiple Attackers. CDC Dinuka Sahabandu, Shana Moothedath, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran
2019	—	`conf`	Learning Equilibria in Stochastic Information Flow Tracking Games with Partial Knowledge. CDC Shruti Misra, Shana Moothedath, Hossein Hosseini, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
2019	C	`conf`	Minimizing Inputs for Strong Structural Controllability. ACC Kumar Yashashwi, Shana Moothedath, Prasanna Chaporkar
2019	C	`conf`	Optimal Network Topology Design in Composite Systems with Constrained Neighbors for Structural Controllability. ACC Shana Moothedath, Prasanna Chaporkar, Aishwary Joshi
2019	J	`jnl`	Optimal selection of essential interconnections for structural controllability in heterogeneous subsystems. Autom. Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
2019	J	`jnl`	Sparsest Feedback Selection for Structurally Cyclic Systems With Dedicated Actuators and Sensors in Polynomial Time. IEEE Trans. Autom. Control. Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
2019	—	`conf`	Stochastic Dynamic Information Flow Tracking Game with Reinforcement Learning. GameSec Dinuka Sahabandu, Shana Moothedath, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran
2019	—	`conf`	Target Controllability of Structured Systems. ECC Shana Moothedath, Kumar Yashashwi, Prasanna Chaporkar, Madhu N. Belur
2018	J	`jnl`	A Flow-Network-Based Polynomial-Time Approximation Algorithm for the Minimum Constrained Input Structural Controllability Problem. IEEE Trans. Autom. Control. Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
2018	J	`jnl`	A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats. CoRR Shana Moothedath, Dinuka Sahabandu, Joey Allen, Andrew Clark, Linda Bushnell, Wenke Lee, Radha Poovendran
2018	—	`conf`	A Randomized Algorithm for Minimum Cost Constrained Input Selection for State Space Structural Controllability. ECC Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
2018	J	`jnl`	Minimum Cost Feedback Selection for Arbitrary Pole Placement in Structured Systems. IEEE Trans. Autom. Control. Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
2018	—	`conf`	Multi-stage Dynamic Information Flow Tracking Game. GameSec Shana Moothedath, Dinuka Sahabandu, Andrew Clark, Sangho Lee, Wenke Lee, Radha Poovendran
2017	J	`jnl`	Approximating Constrained Minimum Cost Input-Output Selection for Generic Arbitrary Pole Placement in Structured Systems. CoRR Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
2017	J	`jnl`	Rapidly Mixing Markov Chain Monte Carlo Technique for Matching Problems with Global Utility Function. CoRR Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur
2016	—	`conf`	An MCMC Based Course to Teaching Assistant Allocation. ICNCC Saurabh Kumar, Shana Moothedath, Prasanna Chaporkar, Madhu N. Belur