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Sharu Theresa Jose
Title
Cited by
Cited by
Year
Information-Theoretic Generalization Bounds for Meta-Learning and Applications
ST Jose, O Simeone
Entropy, 2021
422021
Transfer meta-learning: Information-theoretic bounds and information meta-risk minimization
ST Jose, O Simeone, G Durisi
IEEE Transactions on Information Theory 68 (1), 474-501, 2021
212021
Learning with limited samples: Meta-learning and applications to communication systems
L Chen, ST Jose, I Nikoloska, S Park, T Chen, O Simeone
Foundations and Trends® in Signal Processing 17 (2), 79-208, 2023
202023
Linear programming-based converses for finite blocklength lossy joint source-channel coding
ST Jose, AA Kulkarni
IEEE Transactions on Information Theory 63 (11), 7066-7094, 2017
202017
Information-theoretic bounds on transfer generalization gap based on Jensen-Shannon divergence
ST Jose, O Simeone
2021 29th European Signal Processing Conference (EUSIPCO), 1461-1465, 2021
172021
An information-theoretic analysis of the impact of task similarity on meta-learning
ST Jose, O Simeone
2021 IEEE International Symposium on Information Theory (ISIT), 1534-1539, 2021
172021
Information-theoretic analysis of epistemic uncertainty in bayesian meta-learning
ST Jose, S Park, O Simeone
International Conference on Artificial Intelligence and Statistics, 9758-9775, 2022
162022
Free energy minimization: A unified framework for modeling, inference, learning, and optimization [lecture notes]
ST Jose, O Simeone
IEEE Signal Processing Magazine 38 (2), 120-125, 2021
162021
Conditional mutual information-based generalization bound for meta learning
A Rezazadeh, ST Jose, G Durisi, O Simeone
2021 IEEE International Symposium on Information Theory (ISIT), 1176-1181, 2021
142021
Improved finite blocklength converses for Slepian–Wolf coding via linear programming
ST Jose, AA Kulkarni
IEEE Transactions on Information Theory 65 (4), 2423-2441, 2018
102018
Shannon meets von Neumann: A minimax theorem for channel coding in the presence of a jammer
ST Jose, AA Kulkarni
IEEE Transactions on Information Theory 66 (5), 2842-2859, 2020
82020
Linear Programming based Finite Blocklength Converses for Some Network-like Problems
ST Jose, AA Kulkarni
IEEE Information Theory Workshop, 544-548, 2017
72017
A linear programming relaxation for stochastic control problems with non-classical information patterns
ST Jose, AA Kulkarni
2015 54th IEEE Conference on Decision and Control (CDC), 5743-5748, 2015
72015
A unified PAC-Bayesian framework for machine unlearning via information risk minimization
ST Jose, O Simeone
2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021
62021
On a game between a delay-constrained communication system and a finite state jammer
ST Jose, AA Kulkarni
2018 IEEE Conference on Decision and Control (CDC), 5063-5068, 2018
62018
Bayesian and multi-armed contextual meta-optimization for efficient wireless radio resource management
Y Zhang, O Simeone, ST Jose, L Maggi, A Valcarce
IEEE Transactions on Cognitive Communications and Networking, 2023
52023
Error-Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis
ST Jose, O Simeone
IEEE Transactions on Quantum Engineering 3, 1-19, 2022
52022
Address-event variable-length compression for time-encoded data
ST Jose, O Simeone
2020 International Symposium on Information Theory and Its Applications …, 2020
42020
Statistical Complexity of Quantum Learning
L Banchi, JL Pereira, ST Jose, O Simeone
arXiv preprint arXiv:2309.11617, 2023
22023
Transfer learning for quantum classifiers: An information-theoretic generalization analysis
ST Jose, O Simeone
2023 IEEE Information Theory Workshop (ITW), 532-537, 2023
22023
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