Research output per year
Research output per year
- 23 results
Search results
-
2023
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management
Zhang, Y., Simeone, O., Jose, S. T., Maggi, L. & Valcarce, A., Oct 2023, In: IEEE Transactions on Cognitive Communications and Networking. 9, 5, p. 1282-1295 14 p.Research output: Contribution to journal › Article › peer-review
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2022
An information-theoretic analysis of the cost of decentralization for learning and inference under privacy constraints
Jose, S. T. & Simeone, O., 30 Mar 2022, In: Entropy. 24, 4, 10 p., 485.Research output: Contribution to journal › Article › peer-review
Open AccessFile18 Downloads (Pure) -
Error-Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis
Jose, S. T. & Simeone, O., 16 Dec 2022, In: IEEE Transactions on Quantum Engineering. 3, 19 p., 3103119.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Information-theoretic analysis of epistemic uncertainty in Bayesian meta-learning
Jose, S., Park, S. & Simeone, O., 3 May 2022, International Conference on Artificial Intelligence and Statistics, 28-30 March 2022, A Virtual Conference. Camps-Valls, G., Ruiz, F. J. R. & Valera, I. (eds.). Proceedings of Machine Learning Research, p. 9758-9775 18 p. (Proceedings of Machine Learning Research; vol. 151).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Transfer meta-learning: information- theoretic bounds and information meta-risk minimization
Jose, S. T., Simeone, O. & Durisi, G., Jan 2022, In: IEEE Transactions on Information Theory. 68, 1, p. 474-501 28 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile28 Downloads (Pure) -
2021
An information-theoretic analysis of the impact of task similarity on meta-learning
Jose, S. & Simeone, O., 1 Sept 2021, 2021 IEEE International Symposium on Information Theory (ISIT). IEEE, p. 1534-1539 6 p. 9517767. (IEEE International Symposium on Information Theory proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A unified PAC-Bayesian framework for machine unlearning via information risk minimization
Jose, S. & Simeone, O., 15 Nov 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 6 p. 9596170. (Machine learning for signal processing ).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile4 Downloads (Pure) -
Conditional mutual information-based generalization bound for meta learning
Rezazadeh, A., Jose, S., Durisi, G. & Simeone, O., 1 Sept 2021, 2021 IEEE International Symposium on Information Theory (ISIT). IEEE, p. 1176-1181 6 p. 9518020. (IEEE International Symposium on Information Theory proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Free energy minimization: a unified framework for modeling, inference, learning, and optimization [lecture notes]
Jose, S. T. & Simeone, O., Mar 2021, In: IEEE Signal Processing Magazine. 38, 2, p. 120-125 6 p.Research output: Contribution to journal › Article › peer-review
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Information-theoretic bounds on transfer generalization gap based on Jensen-Shannon divergence
Jose, S. & Simeone, O., 8 Dec 2021, 2021 29th European Signal Processing Conference (EUSIPCO). IEEE, p. 1461-1465 5 p. 9616270. (European Signal Processing Conference ).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Information-theoretic generalization bounds for meta-learning and applications
Jose, S. T. & Simeone, O., 19 Jan 2021, In: Entropy. 23, 1, 28 p., 126.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure) -
Transfer Bayesian meta-learning via weighted free energy minimization
Jose, S., Simeone, O. & Zhang, Y., 15 Nov 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 6 p. 9596239. (Proceedings of the IEEE Signal Processing Society Workshop).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2020
Address-event variable-length compression for time-encoded data
Jose, S. & Simeone, O., 24 Oct 2020, IEEE International Symposium on Information Theory and Applications.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Shannon Meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer
Jose, S. T. & Kulkarni, A. A., May 2020, In: IEEE Transactions on Information Theory.Research output: Contribution to journal › Article › peer-review
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2019
Improved Finite Blocklength Converses for Slepian–Wolf Coding via Linear Programming
Jose, S. T. & Kulkarni, A. A., Apr 2019, In: IEEE Transactions on Information Theory.Research output: Contribution to journal › Article › peer-review
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2018
Linear Programming Based Finite Blocklength Converses in Information Theory
Jose, S. & Kulkarni, A. A., 2018, IEEE Information Theory and Applications (ITA).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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New finite blocklength converses for asymmetric multiple access channels via linear programming
Jose, S. & Kulkarni, A. A., 2018, IEEE International Conference on Signal Processing and Communications (SPCOM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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On a game between a delay-constrained communication system and a finite state jammer
Jose, S. & Kulkarni, A. A., 2018, IEEE Conference on Decision and Control (CDC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2017
A linear programming based channel coding strong converse for the BSC and BEC
Jose, S., 2017, Communications (NCC), 2017 Twenty-third National Conference on.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A linear programming based channel coding strong converse for the BSC and BEC
Jose, S. & Kulkarni, A. A., 2017, National Conference on Communications (NCC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Linear programming-based converses for finite blocklength lossy joint source-channel coding
Jose, S. & Kulkarni, A. A., 11 Aug 2017, In: IEEE Transactions on Information Theory. 63, 11Research output: Contribution to journal › Article › peer-review
Open Access -
Linear Programming based Finite Blocklength Converses for Some Network-like Problems
Jose, S. & Kulkarni, A. A., 2017, IEEE Information Theory Workshop (ITW).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2015
A linear programming relaxation for stochastic control problems with non-classical information patterns
Jose, S. & Kulkarni, A. A., 2015, IEEE Conference on Decision and Control (CDC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution