Sharu Theresa Jose
Orcid: 0000-0001-8872-3462
According to our database1,
Sharu Theresa Jose
authored at least 31 papers
between 2015 and 2024.
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Bibliography
2024
Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis.
Entropy, July, 2024
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis.
Proceedings of the IEEE International Symposium on Information Theory, 2024
2023
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management.
IEEE Trans. Cogn. Commun. Netw., October, 2023
Learning with Limited Samples: Meta-Learning and Applications to Communication Systems.
Found. Trends Signal Process., 2023
Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis.
Proceedings of the IEEE Information Theory Workshop, 2023
2022
Transfer Meta-Learning: Information- Theoretic Bounds and Information Meta-Risk Minimization.
IEEE Trans. Inf. Theory, 2022
An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints.
Entropy, 2022
Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis.
CoRR, 2022
Transfer Learning in Quantum Parametric Classifiers: An Information-Theoretic Generalization Analysis.
CoRR, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes].
IEEE Signal Process. Mag., 2021
Entropy, 2021
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
Shannon Meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer.
IEEE Trans. Inf. Theory, 2020
Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning, and Optimization.
CoRR, 2020
Proceedings of the International Symposium on Information Theory and Its Applications, 2020
2019
Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming.
IEEE Trans. Inf. Theory, 2019
2018
New Finite Blocklength Converses for Asymmetric Multiple Access Channels via Linear Programming.
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018
Proceedings of the 2018 Information Theory and Applications Workshop, 2018
On a Game Between a Delay-Constrained Communication System and a Finite State Jammer.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Linear Programming-Based Converses for Finite Blocklength Lossy Joint Source-Channel Coding.
IEEE Trans. Inf. Theory, 2017
Proceedings of the Twenty-third National Conference on Communications, 2017
Linear programming based finite blocklength converses for some network-like problems.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017
2015
A linear programming relaxation for stochastic control problems with non-classical information patterns.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015