Sharu Theresa Jose

55 papers A 1B 5C 1Misc 1Journal 38Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantum-Enhanced Neural Contextual Bandit Algorithms. CoRR Yuqi Huang, Vincent Y. F. Tan, Sharu Theresa Jose
2026	J	`jnl`	Sample Complexity of Composite Quantum Hypothesis Testing. CoRR Jacob Paul Simpson, Efstratios Palias, Sharu Theresa Jose
2025	—	`conf`	Neural Contextual Bandits Under Delayed Feedback Constraints. CDC Mohammadali Moghimi, Sharu Theresa Jose, Shana Moothedath
2025	J	`jnl`	Neural Contextual Bandits Under Delayed Feedback Constraints. CoRR Mohammadali Moghimi, Sharu Theresa Jose, Shana Moothedath
2025	J	`jnl`	On the Generalization of Adversarially Trained Quantum Classifiers. CoRR Petros Georgiou, Aaron Mark Thomas, Sharu Theresa Jose, Osvaldo Simeone
2025	—	`conf`	PrELIN: Provably Efficient Local-Information Networked Multi-Agent Reinforcement Learning. CDC Ziyue Chu, Sharu Theresa Jose, Leonardo Stella
2025	J	`jnl`	QCA-MolGAN: Quantum Circuit Associative Molecular GAN with Multi-Agent Reinforcement Learning. CoRR Aaron Mark Thomas, Yu-Cheng Chen, Hubert Okadome Valencia, Sharu Theresa Jose, Ronin Wu
2025	J	`jnl`	VAE-QWGAN: addressing mode collapse in quantum GANs via autoencoding priors. Quantum Mach. Intell. Aaron Mark Thomas, Harry Youel, Sharu Theresa Jose
2024	B	`conf`	Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis. ISIT Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone
2024	J	`jnl`	Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis. CoRR Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone
2024	J	`jnl`	Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. CoRR Sharu Theresa Jose, Shana Moothedath
2024	J	`jnl`	Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis. Entropy Sharu Theresa Jose, Shana Moothedath
2024	J	`jnl`	VAE-QWGAN: Improving Quantum GANs for High Resolution Image Generation. CoRR Aaron Mark Thomas, Sharu Theresa Jose
2023	J	`jnl`	Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management. CoRR Yunchuan Zhang, Osvaldo Simeone, Sharu Theresa Jose, Lorenzo Maggi, Alvaro Valcarce
2023	J	`jnl`	Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management. IEEE Trans. Cogn. Commun. Netw. Yunchuan Zhang, Osvaldo Simeone, Sharu Theresa Jose, Lorenzo Maggi, Alvaro Valcarce
2023	J	`jnl`	Learning with Limited Samples: Meta-Learning and Applications to Communication Systems. Found. Trends Signal Process. Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone
2023	J	`jnl`	Statistical Complexity of Quantum Learning. CoRR Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone
2023	B	`conf`	Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis. ITW Sharu Theresa Jose, Osvaldo Simeone
2022	J	`jnl`	An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints. Entropy Sharu Theresa Jose, Osvaldo Simeone
2022	J	`jnl`	Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis. CoRR Sharu Theresa Jose, Osvaldo Simeone
2022	A	`conf`	Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. AISTATS Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone
2022	J	`jnl`	Learning with Limited Samples - Meta-Learning and Applications to Communication Systems. CoRR Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone
2022	J	`jnl`	Transfer Learning in Quantum Parametric Classifiers: An Information-Theoretic Generalization Analysis. CoRR Sharu Theresa Jose, Osvaldo Simeone
2022	J	`jnl`	Transfer Meta-Learning: Information- Theoretic Bounds and Information Meta-Risk Minimization. IEEE Trans. Inf. Theory Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi
2021	—	`conf`	A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization. MLSP Sharu Theresa Jose, Osvaldo Simeone
2021	J	`jnl`	A unified PAC-Bayesian framework for machine unlearning via information risk minimization. CoRR Sharu Theresa Jose, Osvaldo Simeone
2021	J	`jnl`	An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints. CoRR Sharu Theresa Jose, Osvaldo Simeone
2021	B	`conf`	An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning. ISIT Sharu Theresa Jose, Osvaldo Simeone
2021	J	`jnl`	An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning. CoRR Sharu Theresa Jose, Osvaldo Simeone
2021	B	`conf`	Conditional Mutual Information-Based Generalization Bound for Meta Learning. ISIT Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi, Osvaldo Simeone
2021	J	`jnl`	Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes]. IEEE Signal Process. Mag. Sharu Theresa Jose, Osvaldo Simeone
2021	J	`jnl`	Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. CoRR Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone
2021	—	`conf`	Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence. EUSIPCO Sharu Theresa Jose, Osvaldo Simeone
2021	J	`jnl`	Information-Theoretic Generalization Bounds for Meta-Learning and Applications. Entropy Sharu Theresa Jose, Osvaldo Simeone
2021	—	`conf`	Transfer Bayesian Meta-Learning Via Weighted Free Energy Minimization. MLSP Yunchuan Zhang, Sharu Theresa Jose, Osvaldo Simeone
2021	J	`jnl`	Transfer Bayesian Meta-learning via Weighted Free Energy Minimization. CoRR Yunchuan Zhang, Sharu Theresa Jose, Osvaldo Simeone
2020	C	`conf`	Address-Event Variable-Length Compression for Time-Encoded Data. ISITA Sharu Theresa Jose, Osvaldo Simeone
2020	J	`jnl`	Address-Event Variable-Length Compression for Time-Encoded Data. CoRR Sharu Theresa Jose, Osvaldo Simeone
2020	J	`jnl`	Conditional Mutual Information Bound for Meta Generalization Gap. CoRR Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi, Osvaldo Simeone
2020	J	`jnl`	Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning, and Optimization. CoRR Sharu Theresa Jose, Osvaldo Simeone
2020	J	`jnl`	Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence. CoRR Sharu Theresa Jose, Osvaldo Simeone
2020	J	`jnl`	Information-Theoretic Generalization Bounds for Meta-Learning and Applications. CoRR Sharu Theresa Jose, Osvaldo Simeone
2020	J	`jnl`	Shannon Meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer. IEEE Trans. Inf. Theory Sharu Theresa Jose, Ankur A. Kulkarni
2020	J	`jnl`	Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization. CoRR Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi
2019	J	`jnl`	Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming. IEEE Trans. Inf. Theory Sharu Theresa Jose, Ankur A. Kulkarni
2018	J	`jnl`	Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming. CoRR Sharu Theresa Jose, Ankur A. Kulkarni
2018	Misc	`conf`	Linear Programming Based Finite Blocklength Converses in Information Theory. ITA Ankur A. Kulkarni, Sharu Theresa Jose
2018	—	`conf`	New Finite Blocklength Converses for Asymmetric Multiple Access Channels via Linear Programming. SPCOM Sharu Theresa Jose, Ankur A. Kulkarni
2018	—	`conf`	On a Game Between a Delay-Constrained Communication System and a Finite State Jammer. CDC Sharu Theresa Jose, Ankur A. Kulkarni
2018	J	`jnl`	Shannon meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer. CoRR Sharu Theresa Jose, Ankur A. Kulkarni
2017	—	`conf`	A linear programming based channel coding strong converse for the BSC and BEC. NCC Sharu Theresa Jose, Ankur A. Kulkarni
2017	J	`jnl`	Linear Programming-Based Converses for Finite Blocklength Lossy Joint Source-Channel Coding. IEEE Trans. Inf. Theory Sharu Theresa Jose, Ankur A. Kulkarni
2017	B	`conf`	Linear programming based finite blocklength converses for some network-like problems. ITW Sharu Theresa Jose, Ankur A. Kulkarni
2016	J	`jnl`	Linear Programming based Converses for Finite Blocklength Lossy Joint Source-Channel Coding. CoRR Sharu Theresa Jose, Ankur A. Kulkarni
2015	—	`conf`	A linear programming relaxation for stochastic control problems with non-classical information patterns. CDC Sharu Theresa Jose, Ankur A. Kulkarni