Anuran Makur

Orcid: 0000-0002-2978-8116

According to our database1, Anuran Makur authored at least 45 papers between 2014 and 2024.

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Bibliography

2024
Estimation of Skill Distributions.
IEEE Trans. Inf. Theory, September, 2024

Doeblin Coefficients and Related Measures.
IEEE Trans. Inf. Theory, July, 2024

Permutation Capacity Region of Adder Multiple-Access Channels.
IEEE Trans. Inf. Theory, July, 2024

Functional Linear Regression of Cumulative Distribution Functions.
Trans. Mach. Learn. Res., 2024

Sparse Contextual CDF Regression.
Trans. Mach. Learn. Res., 2024

Universal Features for High-Dimensional Learning and Inference.
Found. Trends Commun. Inf. Theory, 2024

Minimax Hypothesis Testing for the Bradley-Terry-Luce Model.
CoRR, 2024

Exploring the Orthogonality and Linearity of Backdoor Attacks.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

On Doeblin Curves and Their Properties.
Proceedings of the IEEE International Symposium on Information Theory, 2024

On Permutation Capacity Regions of Multiple-Access Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Contraction Coefficients of Product Symmetric Channels.
Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023
Federated Optimization of Smooth Loss Functions.
IEEE Trans. Inf. Theory, December, 2023

Inference in Opinion Dynamics Under Social Pressure.
IEEE Trans. Autom. Control., June, 2023

On the Robustness of Mechanism Design under Total Variation Distance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Testing for the Bradley-Terry-Luce Model.
Proceedings of the IEEE International Symposium on Information Theory, 2023

On Properties of Doeblin Coefficients.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Permutation Sum-Capacity of Binary Adder Multiple-Access Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Adaptive Low-Rank Gradient Descent.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Gradient Descent with Low-Rank Objective Functions.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Broadcasting on Two-Dimensional Regular Grids.
IEEE Trans. Inf. Theory, 2022

Gradient Descent for Low-Rank Functions.
CoRR, 2022

Functional Linear Regression of CDFs.
CoRR, 2022

2021
Opinion Dynamics under Social Pressure.
CoRR, 2021

Reconstruction on 2D Regular Grids.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Broadcasting on Random Directed Acyclic Graphs.
IEEE Trans. Inf. Theory, 2020

Coding Theorems for Noisy Permutation Channels.
IEEE Trans. Inf. Theory, 2020

Comparison of Contraction Coefficients for f-Divergences.
Probl. Inf. Transm., 2020

Gradient-Based Empirical Risk Minimization using Local Polynomial Regression.
CoRR, 2020

Estimation of Skill Distribution from a Tournament.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Estimation of Modal Decompositions.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Bounds on Permutation Channel Capacity.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Broadcasting on Random Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Comparison of Channels: Criteria for Domination by a Symmetric Channel.
IEEE Trans. Inf. Theory, 2018

Broadcasting on Bounded Degree DAGs.
CoRR, 2018

Probabilistic Clustering using Maximal Matrix Norm Couplings.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Information Capacity of BSC and BEC Permutation Channels.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Polynomial Singular Value Decompositions of a Family of Source-Channel Models.
IEEE Trans. Inf. Theory, 2017

Less noisy domination by symmetric channels.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

An information-theoretic approach to universal feature selection in high-dimensional inference.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
Polynomial spectral decomposition of conditional expectation operators.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Transient Signal Spaces and Decompositions.
CoRR, 2015

Bounds between contraction coefficients.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

An efficient algorithm for information decomposition and extraction.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Complex robust whitening with application to blind identification of same DoA multipath.
Signal Process., 2014

Efficient statistics: Extracting information from IID observations.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014


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