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Sharu Theresa Jose
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Cited by
Cited by
Year
Information-Theoretic Generalization Bounds for Meta-Learning and Applications
ST Jose, O Simeone
Entropy, 2021
262021
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
212017
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
132021
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
112021
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
102021
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
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
82022
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
72021
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
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
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
52021
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
52020
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
32021
Free energy minimization: A unified framework for modelling, inference, learning, and optimization
ST Jose, O Simeone
arXiv preprint arXiv:2011.14963, 2020
22020
Address-event variable-length compression for time-encoded data
ST Jose, O Simeone
2020 International Symposium on Information Theory and Its Applications …, 2020
22020
A linear programming based channel coding strong converse for the BSC and BEC
ST Jose, AA Kulkarni
2017 Twenty-third National Conference on Communications (NCC), 1-6, 2017
22017
Conditional mutual information bound for meta generalization gap
A Rezazadeh, ST Jose, G Durisi, O Simeone
arXiv preprint arXiv:2010.10886, 2020
12020
New finite blocklength converses for asymmetric multiple access channels via linear programming
ST Jose, AA Kulkarni
2018 International Conference on Signal Processing and Communications (SPCOM …, 2018
12018
Learning with Limited Samples--Meta-Learning and Applications to Communication Systems
L Chen, ST Jose, I Nikoloska, S Park, T Chen, O Simeone
arXiv preprint arXiv:2210.02515, 2022
2022
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