A linear programming relaxation for stochastic control problems with non-classical information patterns. - Sharu Theresa Jose; Ankur A. Kulkarni (CDC, 2015)

Linear programming based finite blocklength converses for some network-like problems. - Sharu Theresa Jose; Ankur A. Kulkarni (ITW, 2017)

A linear programming based channel coding strong converse for the BSC and BEC. - Sharu Theresa Jose; Ankur A. Kulkarni (NCC, 2017)

Linear Programming-Based Converses for Finite Blocklength Lossy Joint Source-Channel Coding. - Sharu Theresa Jose; Ankur A. Kulkarni (IEEE Trans. Inf. Theory, 2017)

On a Game Between a Delay-Constrained Communication System and a Finite State Jammer. - Sharu Theresa Jose; Ankur A. Kulkarni (CDC, 2018)

Linear Programming Based Finite Blocklength Converses in Information Theory. - Ankur A. Kulkarni; Sharu Theresa Jose (ITA, 2018)

New Finite Blocklength Converses for Asymmetric Multiple Access Channels via Linear Programming. - Sharu Theresa Jose; Ankur A. Kulkarni (SPCOM, 2018)

Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming. - Sharu Theresa Jose; Ankur A. Kulkarni (IEEE Trans. Inf. Theory, 2019)

Address-Event Variable-Length Compression for Time-Encoded Data. - Sharu Theresa Jose; Osvaldo Simeone (ISITA, 2020)

Conditional Mutual Information Bound for Meta Generalization Gap. - Arezou Rezazadeh 001; Sharu Theresa Jose; Giuseppe Durisi; Osvaldo Simeone (CoRR, 2020)

Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning, and Optimization. - Sharu Theresa Jose; Osvaldo Simeone (CoRR, 2020)

Shannon Meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer. - Sharu Theresa Jose; Ankur A. Kulkarni (IEEE Trans. Inf. Theory, 2020)

Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence. - Sharu Theresa Jose; Osvaldo Simeone (EUSIPCO, 2021)

An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning. - Sharu Theresa Jose; Osvaldo Simeone (ISIT, 2021)

Conditional Mutual Information-Based Generalization Bound for Meta Learning. - Arezou Rezazadeh 001; Sharu Theresa Jose; Giuseppe Durisi; Osvaldo Simeone (ISIT, 2021)

A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization. - Sharu Theresa Jose; Osvaldo Simeone (MLSP, 2021)

Transfer Bayesian Meta-Learning Via Weighted Free Energy Minimization. - Yunchuan Zhang; Sharu Theresa Jose; Osvaldo Simeone (MLSP, 2021)

Information-Theoretic Generalization Bounds for Meta-Learning and Applications. - Sharu Theresa Jose; Osvaldo Simeone (Entropy, 2021)

Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes]. - Sharu Theresa Jose; Osvaldo Simeone (IEEE Signal Process. Mag., 2021)

Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. - Sharu Theresa Jose; Sangwoo Park 002; Osvaldo Simeone (AISTATS, 2022)

Transfer Learning in Quantum Parametric Classifiers: An Information-Theoretic Generalization Analysis. - Sharu Theresa Jose; Osvaldo Simeone (CoRR, 2022)

Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis. - Sharu Theresa Jose; Osvaldo Simeone (CoRR, 2022)

An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints. - Sharu Theresa Jose; Osvaldo Simeone (Entropy, 2022)

Transfer Meta-Learning: Information- Theoretic Bounds and Information Meta-Risk Minimization. - Sharu Theresa Jose; Osvaldo Simeone; Giuseppe Durisi (IEEE Trans. Inf. Theory, 2022)

Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis. - Sharu Theresa Jose; Osvaldo Simeone (ITW, 2023)

Statistical Complexity of Quantum Learning. - Leonardo Banchi; Jason Luke Pereira; Sharu Theresa Jose; Osvaldo Simeone (CoRR, 2023)

Learning with Limited Samples: Meta-Learning and Applications to Communication Systems. - Lisha Chen; Sharu Theresa Jose; Ivana Nikoloska; Sangwoo Park 002; Tianyi Chen; Osvaldo Simeone (Found. Trends Signal Process., 2023)

Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management. - Yunchuan Zhang; Osvaldo Simeone; Sharu Theresa Jose; Lorenzo Maggi; Alvaro Valcarce (IEEE Trans. Cogn. Commun. Netw., 2023)

Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis. - Petros Georgiou; Sharu Theresa Jose; Osvaldo Simeone (ISIT, 2024)

VAE-QWGAN: Improving Quantum GANs for High Resolution Image Generation. - Aaron Mark Thomas; Sharu Theresa Jose (CoRR, 2024)

Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. - Sharu Theresa Jose; Shana Moothedath (Entropy, 2024)

Neural Contextual Bandits Under Delayed Feedback Constraints. - Mohammadali Moghimi; Sharu Theresa Jose; Shana Moothedath (CoRR, 2025)

On the Generalization of Adversarially Trained Quantum Classifiers. - Petros Georgiou; Aaron Mark Thomas; Sharu Theresa Jose; Osvaldo Simeone (CoRR, 2025)