Cover's open problem: "The Capacity of the Relay Channel". - Xiugang Wu; Leighton Pate Barnes; Ayfer Özgür (Allerton, 2016)

Uniform FIR approximation of causal Wiener filters, with applications to causal coherence. - Leighton Pate Barnes; George C. Verghese (Signal Process., 2016)

A solution to cover's problem for the binary symmetric relay channel: Geometry of sets on the hamming sphere. - Leighton Pate Barnes; Xiugang Wu; Ayfer Özgür (Allerton, 2017)

The geometry of the relay channel. - Xiugang Wu; Leighton Pate Barnes; Ayfer Özgür (ISIT, 2017)

A Geometric Characterization of Fisher Information from Quantized Samples with Applications to Distributed Statistical Estimation. - Leighton Pate Barnes; Yanjun Han; Ayfer Özgür (Allerton, 2018)

An Isoperimetric Result on High-Dimensional Spheres. - Leighton Pate Barnes; Ayfer Özgür; Xiugang Wu (CoRR, 2018)

Fisher Information for Distributed Estimation under a Blackboard Communication Protocol. - Leighton Pate Barnes; Yanjun Han; Ayfer Özgür (ISIT, 2019)

Learning Distributions from their Samples under Communication Constraints. - Leighton Pate Barnes; Yanjun Han; Ayfer Özgür (CoRR, 2019)

Minimax Bounds for Distributed Logistic Regression. - Leighton Pate Barnes; Ayfer Özgür (CoRR, 2019)

"The Capacity of the Relay Channel": Solution to Cover's Problem in the Gaussian Case. - Xiugang Wu; Leighton Pate Barnes; Ayfer Özgür (IEEE Trans. Inf. Theory, 2019)

The Courtade-Kumar Most Informative Boolean Function Conjecture and a Symmetrized Li-Médard Conjecture are Equivalent. - Leighton Pate Barnes; Ayfer Özgür (ISIT, 2020)

Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation. - Wenhao Zhan; Leighton Pate Barnes; Ayfer Özgür (CoRR, 2020)

Fisher Information Under Local Differential Privacy. - Leighton Pate Barnes; Wei-Ning Chen; Ayfer Özgür (IEEE J. Sel. Areas Inf. Theory, 2020)

rTop-k: A Statistical Estimation Approach to Distributed SGD. - Leighton Pate Barnes; Huseyin A. Inan; Berivan Isik; Ayfer Özgür (IEEE J. Sel. Areas Inf. Theory, 2020)

Over-the-Air Statistical Estimation of Sparse Models. - Chuan-Zheng Lee; Leighton Pate Barnes; Wenhao Zhan; Ayfer Özgür (GLOBECOM, 2021)

Fisher Information and Mutual Information Constraints. - Leighton Pate Barnes; Ayfer Özgür (ISIT, 2021)

Lower Bounds for Over-the-Air Statistical Estimation. - Chuan-Zheng Lee; Leighton Pate Barnes; Ayfer Özgür (ISIT, 2021)

Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning. - Leighton Pate Barnes; Alex Dytso; H. Vincent Poor (ISIT, 2022)

Improved Information-Theoretic Generalization Bounds for Distributed, Federated, and Iterative Learning. - Leighton Pate Barnes; Alex Dytso; Harold Vincent Poor (Entropy, 2022)

Over-the-Air Statistical Estimation. - Chuan-Zheng Lee; Leighton Pate Barnes; Ayfer Özgür (IEEE J. Sel. Areas Commun., 2022)

L1 Estimation in Gaussian Noise: On the Optimality of Linear Estimators. - Leighton Pate Barnes; Alex Dytso; H. Vincent Poor (ISIT, 2023)

Efficient Unbiased Sparsification. - Leighton Pate Barnes; Timothy Chow; Emma Cohen; Keith Frankston; Benjamin Howard; Fred Kochman; Daniel Scheinerman; Jeffrey M. Vanderkam (ISIT, 2024)

Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise. - Leighton Pate Barnes; Alex Dytso; Jingbo Liu; H. Vincent Poor (ISIT, 2024)

L1 Estimation: On the Optimality of Linear Estimators. - Leighton Pate Barnes; Alex Dytso; Jingbo Liu; H. Vincent Poor (IEEE Trans. Inf. Theory, 2024)

On Unbiased Low-Rank Approximation with Minimum Distortion. - Leighton Pate Barnes; Stephen Cameron; Benjamin Howard (CoRR, 2025)

Linearity-Inducing Priors for Poisson Parameter Estimation Under L1 Loss. - Leighton Pate Barnes; Alex Dytso; H. Vincent Poor (CoRR, 2025)