Lan V. Truong

IEEE Trans. Inf. Theory, February, 2024

2023

Concentration Properties of Random Codes.

[BibT_eX]

[DOI]

Giuseppe Cocco

Josep Font-Segura

IEEE Trans. Inf. Theory, December, 2023

Replica Analysis of the Linear Model With Markov or Hidden Markov Signal Priors.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, December, 2023

Fundamental limits and algorithms for sparse linear regression with sublinear sparsity.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Variable-Complexity Weighted-Tempered Gibbs Samplers for Bayesian Variable Selection.

[BibT_eX]

[DOI]

CoRR, 2023

Global Convergence Rate of Deep Equilibrium Models with General Activations.

[BibT_eX]

[DOI]

CoRR, 2023

Concentration Properties of Generalized Random Gilbert-Varshamov Codes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2023

2022

Generative Adversarial Nets: Can we generate a new dataset based on only one training set?

[BibT_eX]

[DOI]

CoRR, 2022

On Rademacher Complexity-based Generalization Bounds for Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Generalization Bounds on Multi-Kernel Learning with Mixed Datasets.

[BibT_eX]

[DOI]

CoRR, 2022

Generalization Error Bounds on Deep Learning with Markov Datasets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Convergence in Distribution of the Error Exponent of Random Codes at Zero Rate.

[BibT_eX]

[DOI]

Josep Font-Segura

Giuseppe Cocco

Proceedings of the IEEE Information Theory Workshop, 2022

On Linear Model with Markov Signal Priors.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

The fundamental limits of sparse linear regression with sublinear sparsity.

[BibT_eX]

[DOI]

CoRR, 2021

Concentration of Random-Coding Error Exponents.

[BibT_eX]

[DOI]

Giuseppe Cocco

Josep Font-Segura

Proceedings of the IEEE Information Theory Workshop, 2021

Linear Models with Hidden Markov Sources via Replica Method.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

On the Capacity of Symmetric M-User Gaussian Interference Channels With Feedback.

[BibT_eX]

[DOI]

Hirosuke Yamamoto

IEEE Trans. Inf. Theory, 2020

Support Recovery in the Phase Retrieval Model: Information-Theoretic Fundamental Limit.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

On the All-or-Nothing Behavior of Bernoulli Group Testing.

[BibT_eX]

[DOI]

Matthew Aldridge

IEEE J. Sel. Areas Inf. Theory, 2020

On Gap-Based Lower Bounding Techniques for Best-Arm Identification.

[BibT_eX]

[DOI]

Entropy, 2020

On the All-Or-Nothing Behavior of Bernoulli Group Testing.

[BibT_eX]

[DOI]

CoRR, 2020

2019

The Reliability Function of Variable-Length Lossy Joint Source-Channel Coding With Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Moderate Deviation Asymptotics for Variable-Length Codes With Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Performance of Viterbi Decoding With and Without ARQ on Rician Fading Channels.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2019

Support Recovery in the Phase Retrieval Model: Information-Theoretic Fundamental Limits.

[BibT_eX]

[DOI]

CoRR, 2019

On the Information-Theoretic Limits of Noisy Sparse Phase Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

2018

On Gaussian MACs With Variable-Length Feedback and Non-Vanishing Error Probabilities.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

The Optimal Compression Rate of Variable-to-Fixed Length Source Coding with a Non-Vanishing Excess-Distortion Probability.

[BibT_eX]

[DOI]

CoRR, 2018

The Reliability Function of Lossy Source-Channel Coding of Variable-Length Codes with Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Performance of Viterbi Decoding on Interleaved Rician Fading Channels.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

On Gaussian Channels With Feedback Under Expected Power Constraints and With Non-Vanishing Error Probabilities.

[BibT_eX]

[DOI]

Silas L. Fong

IEEE Trans. Inf. Theory, 2017

Posterior Matching for Gaussian Broadcast Channels with Feedback.

[BibT_eX]

[DOI]

Hirosuke Yamamoto

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

On the Reliability Function of the Common-Message Broadcast Channel with Variable-Length Feedback.

[BibT_eX]

[DOI]

CoRR, 2017

On the Gaussian MAC with stop-feedback.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Error exponent of the common-message broadcast channel with variable-length feedback.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

On AWGN Channels and Gaussian MACs with Variable-Length Feedback.

[BibT_eX]

[DOI]

CoRR, 2016

On second-order asymptotics of AWGN channels with feedback under the expected power constraint.

[BibT_eX]

[DOI]

Silas L. Fong

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

On the Capacity of Symmetric Gaussian Interference Channel with Feedback.

[BibT_eX]

[DOI]

CoRR, 2015

On the capacity of symmetric Gaussian interference channels with feedback.

[BibT_eX]

[DOI]

Hirosuke Yamamoto

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

Posterior Matching Scheme for Gaussian Broadcast Channel with Feedback.

[BibT_eX]

[DOI]

CoRR, 2014

Posterior matching scheme for Gaussian multiple access channel with feedback.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Information Theory Workshop, 2014

2013

Capacity of a Structural Binary Symmetric Channel.

[BibT_eX]

[DOI]