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ORCIDSharu Theresa Jose
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2020 – today
- 2024
[j10]Sharu Theresa Jose
, Shana Moothedath:
Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. Entropy 26(7): 606 (2024)- [c15]Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone:
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis. ISIT 2024: 789-794 - [i22]Sharu Theresa Jose, Shana Moothedath:
Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. CoRR abs/2401.11565 (2024) - [i21]Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone:
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis. CoRR abs/2402.00176 (2024) - [i20]Aaron Mark Thomas, Sharu Theresa Jose:
VAE-QWGAN: Improving Quantum GANs for High Resolution Image Generation. CoRR abs/2409.10339 (2024) - 2023
- [j9]Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone:
Learning with Limited Samples: Meta-Learning and Applications to Communication Systems. Found. Trends Signal Process. 17(2): 79-208 (2023) - [j8]Yunchuan Zhang, Osvaldo Simeone, Sharu Theresa Jose, Lorenzo Maggi, Alvaro Valcarce:
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management. IEEE Trans. Cogn. Commun. Netw. 9(5): 1282-1295 (2023) - [c14]Sharu Theresa Jose, Osvaldo Simeone:
Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis. ITW 2023: 532-537 - [i19]Yunchuan Zhang, Osvaldo Simeone, Sharu Theresa Jose, Lorenzo Maggi, Alvaro Valcarce:
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management. CoRR abs/2301.06510 (2023) - [i18]Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone:
Statistical Complexity of Quantum Learning. CoRR abs/2309.11617 (2023) - 2022
- [j7]Sharu Theresa Jose, Osvaldo Simeone:
An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints. Entropy 24(4): 485 (2022) - [j6]Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi:
Transfer Meta-Learning: Information- Theoretic Bounds and Information Meta-Risk Minimization. IEEE Trans. Inf. Theory 68(1): 474-501 (2022) - [c13]Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone:
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. AISTATS 2022: 9758-9775 - [i17]Sharu Theresa Jose, Osvaldo Simeone:
Transfer Learning in Quantum Parametric Classifiers: An Information-Theoretic Generalization Analysis. CoRR abs/2201.06297 (2022) - [i16]Sharu Theresa Jose, Osvaldo Simeone:
Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis. CoRR abs/2209.11514 (2022) - [i15]Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone:
Learning with Limited Samples - Meta-Learning and Applications to Communication Systems. CoRR abs/2210.02515 (2022) - 2021
- [j5]Sharu Theresa Jose, Osvaldo Simeone:
Information-Theoretic Generalization Bounds for Meta-Learning and Applications. Entropy 23(1): 126 (2021) - [j4]Sharu Theresa Jose, Osvaldo Simeone:
Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes]. IEEE Signal Process. Mag. 38(2): 120-125 (2021) - [c12]Sharu Theresa Jose, Osvaldo Simeone:
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence. EUSIPCO 2021: 1461-1465 - [c11]Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi, Osvaldo Simeone:
Conditional Mutual Information-Based Generalization Bound for Meta Learning. ISIT 2021: 1176-1181 - [c10]Sharu Theresa Jose, Osvaldo Simeone:
An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning. ISIT 2021: 1534-1539 - [c9]Sharu Theresa Jose, Osvaldo Simeone:
A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization. MLSP 2021: 1-6 - [c8]Yunchuan Zhang, Sharu Theresa Jose, Osvaldo Simeone:
Transfer Bayesian Meta-Learning Via Weighted Free Energy Minimization. MLSP 2021: 1-6 - [i14]Sharu Theresa Jose, Osvaldo Simeone:
An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning. CoRR abs/2101.08390 (2021) - [i13]Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone:
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. CoRR abs/2106.00252 (2021) - [i12]Sharu Theresa Jose, Osvaldo Simeone:
A unified PAC-Bayesian framework for machine unlearning via information risk minimization. CoRR abs/2106.00265 (2021) - [i11]Yunchuan Zhang, Sharu Theresa Jose, Osvaldo Simeone:
Transfer Bayesian Meta-learning via Weighted Free Energy Minimization. CoRR abs/2106.10711 (2021) - [i10]Sharu Theresa Jose, Osvaldo Simeone:
An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints. CoRR abs/2110.05014 (2021) - 2020
- [j3]Sharu Theresa Jose, Ankur A. Kulkarni:
Shannon Meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer. IEEE Trans. Inf. Theory 66(5): 2842-2859 (2020) - [c7]Sharu Theresa Jose, Osvaldo Simeone:
Address-Event Variable-Length Compression for Time-Encoded Data. ISITA 2020: 71-75 - [i9]Sharu Theresa Jose, Osvaldo Simeone:
Address-Event Variable-Length Compression for Time-Encoded Data. CoRR abs/2001.02527 (2020) - [i8]Sharu Theresa Jose, Osvaldo Simeone:
Information-Theoretic Generalization Bounds for Meta-Learning and Applications. CoRR abs/2005.04372 (2020) - [i7]Sharu Theresa Jose, Osvaldo Simeone:
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence. CoRR abs/2010.09484 (2020) - [i6]Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi, Osvaldo Simeone:
Conditional Mutual Information Bound for Meta Generalization Gap. CoRR abs/2010.10886 (2020) - [i5]Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi:
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization. CoRR abs/2011.02872 (2020) - [i4]Sharu Theresa Jose, Osvaldo Simeone:
Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning, and Optimization. CoRR abs/2011.14963 (2020)
2010 – 2019
- 2019
- [j2]Sharu Theresa Jose, Ankur A. Kulkarni:
Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming. IEEE Trans. Inf. Theory 65(4): 2423-2441 (2019) - 2018
- [c6]Sharu Theresa Jose, Ankur A. Kulkarni:
On a Game Between a Delay-Constrained Communication System and a Finite State Jammer. CDC 2018: 5063-5068 - [c5]Ankur A. Kulkarni, Sharu Theresa Jose:
Linear Programming Based Finite Blocklength Converses in Information Theory. ITA 2018: 1-10 - [c4]Sharu Theresa Jose, Ankur A. Kulkarni:
New Finite Blocklength Converses for Asymmetric Multiple Access Channels via Linear Programming. SPCOM 2018: 447-451 - [i3]Sharu Theresa Jose, Ankur A. Kulkarni:
Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming. CoRR abs/1801.08693 (2018) - [i2]Sharu Theresa Jose, Ankur A. Kulkarni:
Shannon meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer. CoRR abs/1811.07358 (2018) - 2017
- [j1]Sharu Theresa Jose, Ankur A. Kulkarni:
Linear Programming-Based Converses for Finite Blocklength Lossy Joint Source-Channel Coding. IEEE Trans. Inf. Theory 63(11): 7066-7094 (2017) - [c3]Sharu Theresa Jose, Ankur A. Kulkarni:
Linear programming based finite blocklength converses for some network-like problems. ITW 2017: 544-548 - [c2]Sharu Theresa Jose, Ankur A. Kulkarni:
A linear programming based channel coding strong converse for the BSC and BEC. NCC 2017: 1-6 - 2016
- [i1]Sharu Theresa Jose, Ankur A. Kulkarni:
Linear Programming based Converses for Finite Blocklength Lossy Joint Source-Channel Coding. CoRR abs/1608.03165 (2016) - 2015
- [c1]Sharu Theresa Jose, Ankur A. Kulkarni:
A linear programming relaxation for stochastic control problems with non-classical information patterns. CDC 2015: 5743-5748
Coauthor Index
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last updated on 2024-10-22 21:17 CEST by the dblp team
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