Sharu Theresa Jose

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 44

Top Topics

Mutual Information

Theoretic Analysis

Risk Minimization

Linear Programming

Top Venues

IEEE Trans. Inf. Theory

Publications

Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis. CoRR (2024)
Sharu Theresa Jose, Shana Moothedath
Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. Entropy 26 (7) (2024)
Sharu Theresa Jose, Shana Moothedath
Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. CoRR (2024)
Sharu Theresa Jose, Osvaldo Simeone
Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis. ITW (2023)
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) (2023)
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) (2023)
Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone
Statistical Complexity of Quantum Learning. CoRR (2023)
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 (2023)
Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi
Transfer Meta-Learning: Information- Theoretic Bounds and Information Meta-Risk Minimization. IEEE Trans. Inf. Theory 68 (1) (2022)
Sharu Theresa Jose, Osvaldo Simeone
Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis. CoRR (2022)
Sharu Theresa Jose, Osvaldo Simeone
An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints. Entropy 24 (4) (2022)
Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. AISTATS (2022)
Sharu Theresa Jose, Osvaldo Simeone
Transfer Learning in Quantum Parametric Classifiers: An Information-Theoretic Generalization Analysis. CoRR (2022)
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 (2022)
Sharu Theresa Jose, Osvaldo Simeone
A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization. MLSP (2021)
Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. CoRR (2021)
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) (2021)
Yunchuan Zhang, Sharu Theresa Jose, Osvaldo Simeone
Transfer Bayesian Meta-Learning Via Weighted Free Energy Minimization. MLSP (2021)
Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi, Osvaldo Simeone
Conditional Mutual Information-Based Generalization Bound for Meta Learning. ISIT (2021)
Sharu Theresa Jose, Osvaldo Simeone
A unified PAC-Bayesian framework for machine unlearning via information risk minimization. CoRR (2021)
Yunchuan Zhang, Sharu Theresa Jose, Osvaldo Simeone
Transfer Bayesian Meta-learning via Weighted Free Energy Minimization. CoRR (2021)
Sharu Theresa Jose, Osvaldo Simeone
An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints. CoRR (2021)
Sharu Theresa Jose, Osvaldo Simeone
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence. EUSIPCO (2021)
Sharu Theresa Jose, Osvaldo Simeone
Information-Theoretic Generalization Bounds for Meta-Learning and Applications. Entropy 23 (1) (2021)
Sharu Theresa Jose, Osvaldo Simeone
An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning. ISIT (2021)
Sharu Theresa Jose, Osvaldo Simeone
An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning. CoRR (2021)
Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization. CoRR (2020)
Sharu Theresa Jose, Osvaldo Simeone
Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning, and Optimization. CoRR (2020)
Sharu Theresa Jose, Osvaldo Simeone
Information-Theoretic Generalization Bounds for Meta-Learning and Applications. CoRR (2020)
Sharu Theresa Jose, Osvaldo Simeone
Address-Event Variable-Length Compression for Time-Encoded Data. CoRR (2020)
Sharu Theresa Jose, Osvaldo Simeone
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence. CoRR (2020)
Sharu Theresa Jose, Osvaldo Simeone
Address-Event Variable-Length Compression for Time-Encoded Data. ISITA (2020)
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) (2020)
Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi, Osvaldo Simeone
Conditional Mutual Information Bound for Meta Generalization Gap. CoRR (2020)
Sharu Theresa Jose, Ankur A. Kulkarni
Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming. IEEE Trans. Inf. Theory 65 (4) (2019)
Sharu Theresa Jose, Ankur A. Kulkarni
New Finite Blocklength Converses for Asymmetric Multiple Access Channels via Linear Programming. SPCOM (2018)
Sharu Theresa Jose, Ankur A. Kulkarni
Shannon meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer. CoRR (2018)
Sharu Theresa Jose, Ankur A. Kulkarni
Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming. CoRR (2018)
Sharu Theresa Jose, Ankur A. Kulkarni
On a Game Between a Delay-Constrained Communication System and a Finite State Jammer. CDC (2018)
Ankur A. Kulkarni, Sharu Theresa Jose
Linear Programming Based Finite Blocklength Converses in Information Theory. ITA (2018)
Sharu Theresa Jose, Ankur A. Kulkarni
Linear Programming-Based Converses for Finite Blocklength Lossy Joint Source-Channel Coding. IEEE Trans. Inf. Theory 63 (11) (2017)
Sharu Theresa Jose, Ankur A. Kulkarni
Linear programming based finite blocklength converses for some network-like problems. ITW (2017)
Sharu Theresa Jose, Ankur A. Kulkarni
A linear programming based channel coding strong converse for the BSC and BEC. NCC (2017)
Sharu Theresa Jose, Ankur A. Kulkarni
Linear Programming based Converses for Finite Blocklength Lossy Joint Source-Channel Coding. CoRR (2016)
Sharu Theresa Jose, Ankur A. Kulkarni
A linear programming relaxation for stochastic control problems with non-classical information patterns. CDC (2015)