Aritra Mitra - RankMe

95 papers A* 3A 2C 6Journal 56Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms. CoRR Feng Zhu, Robert W. Heath Jr., Aritra Mitra
2026	J	`jnl`	Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling. Trans. Mach. Learn. Res. Feng Zhu, Aritra Mitra, Robert W. Heath Jr.
2026	J	`jnl`	Model-Free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach. Trans. Mach. Learn. Res. Han Wang, Leonardo Felipe Toso, Aritra Mitra, James Anderson
2026	J	`jnl`	Parameterized Complexity of Finding a Maximum Common Vertex Subgraph Without Isolated Vertices. CoRR Palash Dey, Anubhav Dhar, Ashlesha Hota, Sudeshna Kolay, Aritra Mitra
2025	J	`jnl`	A Simple Finite-Time Analysis of TD Learning With Linear Function Approximation. IEEE Trans. Autom. Control. Aritra Mitra
2025	J	`jnl`	Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling. CoRR Feng Zhu, Aritra Mitra, Robert W. Heath Jr.
2025	A	`conf`	Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits. AISTATS Sreejeet Maity, Aritra Mitra
2025	J	`jnl`	Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits. CoRR Sreejeet Maity, Aritra Mitra
2025	—	`conf`	Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise. CDC Vinay Kanakeri, Aritra Mitra
2025	J	`jnl`	Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise. CoRR Vinay Kanakeri, Aritra Mitra
2025	J	`jnl`	Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates. CoRR Sreejeet Maity, Aritra Mitra
2025	—	`conf`	Distributed Stochastic Approximation with Constant Communication. IEEECONF Feng Zhu, Aritra Mitra, Robert W. Heath Jr.
2025	J	`jnl`	Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization. CoRR Vinay Kanakeri, Shivam Bajaj, Ashwin Verma, Vijay Gupta, Aritra Mitra
2025	J	`jnl`	Operationalizing Large Language Models with Design-Aware Contexts for Code Comment Generation. CoRR Aritra Mitra, Srijoni Majumdar, Anamitra Mukhopadhyay, Partha Pratim Das, Paul D. Clough, Partha Pratim Chakrabarti
2025	—	`conf`	Outlier-Robust Linear System Identification Under Heavy-Tailed Noise. L4DC Vinay Kanakeri, Aritra Mitra
2025	J	`jnl`	Outlier-Robust Linear System Identification Under Heavy-tailed Noise. CoRR Vinay Kanakeri, Aritra Mitra
2025	—	`conf`	Using Silver-Standard Machine Learning Models to Determine Usefulness of C Comments. FIRE (Working Notes) Aritra Mitra
2024	J	`jnl`	A Human-Augmenting Resource/Performance Co-Design Tool for Real-Time Distributed Control Systems. IEEE Trans. Syst. Man Cybern. Syst. Haoguang Yang, Aritra Mitra, Yanzhe Cui, Shreyas Sundaram, Xin Ma, Steve Sullivan, Richard M. Voyles
2024	J	`jnl`	A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation. CoRR Aritra Mitra
2024	—	`conf`	DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CDC Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
2024	J	`jnl`	DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
2024	—	`conf`	Exploring Usefulness of C Comments with Silver-Standard Machine Learning Models. FIRE (Working Notes) Aritra Mitra
2024	J	`jnl`	Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity. Trans. Mach. Learn. Res. Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
2024	C	`conf`	Finite- Time Analysis of Asynchronous Multi-Agent TD Learning. ACC Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas
2024	J	`jnl`	Finite-Time Analysis of Asynchronous Multi-Agent TD Learning. CoRR Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas
2024	A*	`conf`	Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. ICLR Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
2024	J	`jnl`	Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. CoRR Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
2024	C	`conf`	Min-Max Optimization Under Delays. ACC Arman Adibi, Aritra Mitra, Hamed Hassani
2024	—	`conf`	On the Convergence of Policy Gradient for Designing a Linear Quadratic Regulator by Leveraging a Proxy System. CDC Lintao Ye, Aritra Mitra, Vijay Gupta
2024	—	`conf`	Robust Q-Learning under Corrupted Rewards. CDC Sreejeet Maity, Aritra Mitra
2024	J	`jnl`	Robust Q-Learning under Corrupted Rewards. CoRR Sreejeet Maity, Aritra Mitra
2024	A	`conf`	Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2024	J	`jnl`	Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2024	J	`jnl`	Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. Trans. Mach. Learn. Res. Aritra Mitra, George J. Pappas, Hamed Hassani
2024	—	`conf`	Towards Fast Rates for Federated and Multi-Task Reinforcement Learning. CDC Feng Zhu, Robert W. Heath Jr., Aritra Mitra
2024	J	`jnl`	Towards Fast Rates for Federated and Multi-Task Reinforcement Learning. CoRR Feng Zhu, Robert W. Heath Jr., Aritra Mitra
2024	J	`jnl`	Towards Model-Free LQR Control over Rate-Limited Channels. CoRR Aritra Mitra, Lintao Ye, Vijay Gupta
2024	—	`conf`	Towards Robust Multi-Agent Reinforcement Learning. AAAI Spring Symposia Aritra Mitra
2024	—	`conf`	Towards model-free LQR control over rate-limited channels. L4DC Aritra Mitra, Lintao Ye, Vijay Gupta
2023	—	`conf`	Assessing the Utility of C Comments with SVM and Naïve Bayes Classifier. FIRE (Working Notes) Aritra Mitra
2023	J	`jnl`	Federated TD Learning Over Finite-Rate Erasure Channels: Linear Speedup Under Markovian Sampling. IEEE Control. Syst. Lett. Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas
2023	J	`jnl`	Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling. CoRR Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas
2023	J	`jnl`	Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity. CoRR Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
2023	J	`jnl`	Graph-theoretic approaches for analyzing the resilience of distributed control systems: A tutorial and survey. Autom. Mohammad Pirani, Aritra Mitra, Shreyas Sundaram
2023	—	`conf`	Linear Stochastic Bandits over a Bit-Constrained Channel. L4DC Aritra Mitra, Hamed Hassani, George J. Pappas
2023	J	`jnl`	Min-Max Optimization under Delays. CoRR Arman Adibi, Aritra Mitra, Hamed Hassani
2023	J	`jnl`	Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. CoRR Aritra Mitra, George J. Pappas, Hamed Hassani
2022	J	`jnl`	A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems. CoRR Mohammad Pirani, Aritra Mitra, Shreyas Sundaram
2022	A*	`conf`	Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. NeurIPS Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Distributed State Estimation Over Time-Varying Graphs: Exploiting the Age-of-Information. IEEE Trans. Autom. Control. Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
2022	—	`conf`	Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CoRR Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
2022	—	`conf`	Evaluating Usefulness of C Comments using SVM and Naïve Bayes Classifier. FIRE (Working Notes) Aritra Mitra
2022	J	`jnl`	Linear Stochastic Bandits over a Bit-Constrained Channel. CoRR Aritra Mitra, Hamed Hassani, George J. Pappas
2022	J	`jnl`	On the computational complexity of the secure state-reconstruction problem. Autom. Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada
2022	—	`conf`	Peer-to-Peer Non-Bayesian Learning in Finite Time with a Finite Amount of Communication. CDC Shreyas Sundaram, Aritra Mitra
2021	J	`jnl`	A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine Resilience. IEEE Trans. Autom. Control. Aritra Mitra, John A. Richards, Shreyas Sundaram
2021	J	`jnl`	Achieving Linear Convergence in Federated Learning under Objective and Systems Heterogeneity. CoRR Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani
2021	J	`jnl`	Distributed Inference With Sparse and Quantized Communication. IEEE Trans. Signal Process. Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
2021	J	`jnl`	Exploiting Heterogeneity in Robust Federated Best-Arm Identification. CoRR Aritra Mitra, Hamed Hassani, George J. Pappas
2021	—	`conf`	Federated Learning with Incrementally Aggregated Gradients. CDC Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani
2021	A*	`conf`	Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients. NeurIPS Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani
2021	—	`conf`	Near-Optimal Data Source Selection for Bayesian Learning. L4DC Lintao Ye, Aritra Mitra, Shreyas Sundaram
2021	J	`jnl`	On the Computational Complexity of the Secure State-Reconstruction Problem. CoRR Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada
2021	J	`jnl`	On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation. IEEE Trans. Control. Netw. Syst. Aritra Mitra, Faiq Ghawash, Shreyas Sundaram, Waseem Abbas
2021	—	`conf`	Online Federated Learning. CDC Aritra Mitra, Hamed Hassani, George J. Pappas
2021	—	`conf`	TimeFabric: Trusted Time for Permissioned Blockchains. FAB Aritra Mitra, Christian Gorenflo, Lukasz Golab, Srinivasan Keshav
2020	J	`jnl`	Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication. CoRR Shreyas Sundaram, Aritra Mitra
2020	J	`jnl`	Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. CoRR Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
2020	—	`conf`	Event-Triggered Distributed Inference. CDC Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram
2020	J	`jnl`	Event-Triggered Distributed Inference. CoRR Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram
2020	J	`jnl`	Near-Optimal Data Source Selection for Bayesian Learning. CoRR Lintao Ye, Aritra Mitra, Shreyas Sundaram
2020	J	`jnl`	On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation. CoRR Aritra Mitra, Faiq Ghawash, Shreyas Sundaram, Waseem Abbas
2019	—	`conf`	A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks. CDC Aritra Mitra, John A. Richards, Shreyas Sundaram
2019	J	`jnl`	A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks. CoRR Aritra Mitra, John A. Richards, Shreyas Sundaram
2019	C	`conf`	A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience. ACC Aritra Mitra, John A. Richards, Shreyas Sundaram
2019	J	`jnl`	A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience. CoRR Aritra Mitra, John A. Richards, Shreyas Sundaram
2019	J	`jnl`	A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience. CoRR Aritra Mitra, John A. Richards, Shreyas Sundaram
2019	J	`jnl`	Byzantine-resilient distributed observers for LTI systems. Autom. Aritra Mitra, Shreyas Sundaram
2019	C	`conf`	Finite-Time Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. ACC Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
2019	J	`jnl`	Resilient distributed state estimation with mobile agents: overcoming Byzantine adversaries, communication losses, and intermittent measurements. Auton. Robots Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
2019	—	`conf`	When is the Secure State-Reconstruction Problem Hard? CDC Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada
2018	—	`conf`	A Novel Switched Linear Observer for Estimating the State of a Dynamical Process with a Mobile Agent. CDC Aritra Mitra, Shreyas Sundaram
2018	J	`jnl`	Distributed Observers for LTI Systems. IEEE Trans. Autom. Control. Aritra Mitra, Shreyas Sundaram
2018	J	`jnl`	Finite-Time Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. CoRR Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
2018	—	`conf`	On the Impact of Trusted Nodes in Resilient Distributed State Estimation of LTI Systems. CDC Aritra Mitra, Waseem Abbas, Shreyas Sundaram
2018	J	`jnl`	Resilient Distributed State Estimation for LTI Systems. CoRR Aritra Mitra, Shreyas Sundaram
2018	C	`conf`	Secure Distributed State Estimation of an LTI System Over Time-Varying Networks and Analog Erasure Channels. ACC Aritra Mitra, Shreyas Sundaram
2018	J	`jnl`	Secure Distributed State Estimation of an LTI System over Time-Varying Networks and Analog Erasure Channels. CoRR Aritra Mitra, Shreyas Sundaram
2017	—	`conf`	Distributed functional observers for LTI systems. CDC Aritra Mitra, Shreyas Sundaram
2016	—	`conf`	An approach for distributed state estimation of LTI systems. Allerton Aritra Mitra, Shreyas Sundaram
2016	J	`jnl`	Distributed Observers for LTI Systems. CoRR Aritra Mitra, Shreyas Sundaram
2016	—	`conf`	Secure distributed observers for a class of linear time invariant systems in the presence of Byzantine adversaries. CDC Aritra Mitra, Shreyas Sundaram
2015	C	`conf`	Development of a Fuzzy Sliding Mode Controller with adaptive tuning technique for a MRI guided robot in the human vasculature. INDIN Aritra Mitra, Laxmidhar Behera