Information-Theoretic Generalization Bounds for Meta-Learning and Applications ST Jose, O Simeone Entropy, 2021 | 43 | 2021 |
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 | 22 | 2023 |
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 | 21 | 2021 |
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 | 20 | 2017 |
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 | 19 | 2021 |
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 | 17 | 2021 |
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 | 16 | 2022 |
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 | 16 | 2021 |
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 | 15 | 2021 |
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 | 10 | 2018 |
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 | 9 | 2021 |
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 | 9 | 2020 |
Linear Programming based Finite Blocklength Converses for Some Network-like Problems ST Jose, AA Kulkarni IEEE Information Theory Workshop, 544-548, 2017 | 7 | 2017 |
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 | 7 | 2015 |
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 | 6 | 2018 |
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 9 (5), 1282-1295, 2023 | 5 | 2023 |
Statistical complexity of quantum learning L Banchi, JL Pereira, ST Jose, O Simeone Advanced Quantum Technologies, 2300311, 2023 | 5 | 2023 |
Error-mitigation-aided optimization of parameterized quantum circuits: Convergence analysis ST Jose, O Simeone IEEE Transactions on Quantum Engineering 3, 1-19, 2022 | 5 | 2022 |
Address-event variable-length compression for time-encoded data ST Jose, O Simeone 2020 International Symposium on Information Theory and Its Applications …, 2020 | 4 | 2020 |
Thompson sampling for stochastic bandits with noisy contexts: An information-theoretic regret analysis ST Jose, S Moothedath arXiv preprint arXiv:2401.11565, 2024 | 3 | 2024 |