Cynthia Rush

IEEE Trans. Inf. Theory, June, 2023

Entropic Central Limit Theorem for Order Statistics.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, April, 2023

Is It Easier to Count Communities Than Find Them?

[BibT_eX]

[DOI]

Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

When is Mimo Massive in Radar?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Asymptotics for power posterior mean estimation.

[BibT_eX]

[DOI]

Ruchira Ray

Marco Avella-Medina

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Unsourced Random Access With Coded Compressed Sensing: Integrating AMP and Belief Propagation.

[BibT_eX]

[DOI]

Vamsi K. Amalladinne

Asit Kumar Pradhan

Jean-François Chamberland

Krishna R. Narayanan

IEEE Trans. Inf. Theory, 2022

Near-Optimal Coding for Many-User Multiple Access Channels.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2022

On the Robustness to Misspecification of α-posteriors and Their Variational Approximations.

[BibT_eX]

[DOI]

Marco Avella-Medina

José Luis Montiel Olea

Amilcar Velez

J. Mach. Learn. Res., 2022

A Unifying Tutorial on Approximate Message Passing.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2022

Entropic CLT for Order Statistics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Capacity-Achieving Spatially Coupled Sparse Superposition Codes With AMP Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit.

[BibT_eX]

[DOI]

CoRR, 2021

The Most Informative Order Statistic and its Application to Image Denoising.

[BibT_eX]

[DOI]

CoRR, 2021

Near-Optimal Coding for Massive Multiple Access.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Information Theoretic Approach to L-Estimators.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

mmWave Channel Estimation via Approximate Message Passing with Side Information.

[BibT_eX]

[DOI]

Yavuz Yapici

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation.

[BibT_eX]

[DOI]

Jean Barbier

Nicolas Macris

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Measuring Dependencies of Order Statistics: An Information Theoretic Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2020

Exponentially Fast Concentration of Vector Approximate Message Passing to its State Evolution.

[BibT_eX]

[DOI]

Collin Cademartori

Proceedings of the IEEE International Symposium on Information Theory, 2020

On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing.

[BibT_eX]

[DOI]

Vamsi K. Amalladinne

Asit Kumar Pradhan

Jean-François Chamberland

Krishna R. Narayanan

Proceedings of the IEEE International Symposium on Information Theory, 2020

An Asymptotic Rate for the LASSO Loss.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

An Approximate Message Passing Framework for Side Information.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

The Error Probability of Sparse Superposition Codes With Approximate Message Passing Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Analysis of Approximate Message Passing With Non-Separable Denoisers and Markov Random Field Priors.

[BibT_eX]

[DOI]

Yanting Ma

IEEE Trans. Inf. Theory, 2019

Spatially Coupled Sparse Regression Codes with Sliding Window AMP Decoding.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

An Analysis of State Evolution for Approximate Message Passing with Side Information.

[BibT_eX]

[DOI]

Hangjin Liu

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Finite Sample Analysis of Approximate Message Passing Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

Capacity-achieving sparse regression codes via spatial coupling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2018

Spatially Coupled Sparse Regression Codes: Design and State Evolution Analysis.

[BibT_eX]

[DOI]

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

2017

Capacity-Achieving Sparse Superposition Codes via Approximate Message Passing Decoding.

[BibT_eX]

[DOI]

Adam Greig

IEEE Trans. Inf. Theory, 2017

The error exponent of sparse regression codes with AMP decoding.

[BibT_eX]

[DOI]

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

Analysis of approximate message passing with a class of non-separable denoisers.

[BibT_eX]

[DOI]

Yanting Ma

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

Conditional approximate message passing with side information.

[BibT_eX]

[DOI]

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Finite-sample analysis of Approximate Message Passing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Capacity-achieving Sparse Regression Codes via approximate message passing decoding.

[BibT_eX]

[DOI]

Adam Greig