Sharu Theresa Jose

Orcid: 0000-0001-8872-3462

According to our database1, Sharu Theresa Jose authored at least 30 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis.
CoRR, 2024

Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis.
CoRR, 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

Statistical Complexity of Quantum Learning.
CoRR, 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

Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning.
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

Information-Theoretic Generalization Bounds for Meta-Learning and Applications.
Entropy, 2021

Transfer Bayesian Meta-Learning Via Weighted Free Energy Minimization.
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

Conditional Mutual Information-Based Generalization Bound for Meta Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2021

An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning.
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

Conditional Mutual Information Bound for Meta Generalization Gap.
CoRR, 2020

Address-Event Variable-Length Compression for Time-Encoded Data.
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

Linear Programming Based Finite Blocklength Converses in Information Theory.
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

A linear programming based channel coding strong converse for the BSC and BEC.
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


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