Efficient statistics: Extracting information from IID observations. - Shao-Lun Huang; Anuran Makur; Fabian Kozynski; Lizhong Zheng (Allerton, 2014)

Complex robust whitening with application to blind identification of same DoA multipath. - Anuran Makur (Signal Process., 2014)

An efficient algorithm for information decomposition and extraction. - Anuran Makur; Fabian Kozynski; Shao-Lun Huang; Lizhong Zheng (Allerton, 2015)

Bounds between contraction coefficients. - Anuran Makur; Lizhong Zheng (Allerton, 2015)

Transient Signal Spaces and Decompositions. - Tarek A. Lahlou; Anuran Makur (CoRR, 2015)

Polynomial spectral decomposition of conditional expectation operators. - Anuran Makur; Lizhong Zheng (Allerton, 2016)

An information-theoretic approach to universal feature selection in high-dimensional inference. - Shao-Lun Huang; Anuran Makur; Lizhong Zheng; Gregory W. Wornell (ISIT, 2017)

Less noisy domination by symmetric channels. - Anuran Makur; Yury Polyanskiy (ISIT, 2017)

Polynomial Singular Value Decompositions of a Family of Source-Channel Models. - Anuran Makur; Lizhong Zheng (IEEE Trans. Inf. Theory, 2017)

Information Capacity of BSC and BEC Permutation Channels. - Anuran Makur (Allerton, 2018)

Probabilistic Clustering using Maximal Matrix Norm Couplings. - David Qiu; Anuran Makur; Lizhong Zheng (Allerton, 2018)

Broadcasting on Bounded Degree DAGs. - Anuran Makur; Elchanan Mossel; Yury Polyanskiy (CoRR, 2018)

Comparison of Channels: Criteria for Domination by a Symmetric Channel. - Anuran Makur; Yury Polyanskiy (IEEE Trans. Inf. Theory, 2018)

Broadcasting on Random Networks. - Anuran Makur; Elchanan Mossel; Yury Polyanskiy (ISIT, 2019)

Bounds on Permutation Channel Capacity. - Anuran Makur (ISIT, 2020)

On Estimation of Modal Decompositions. - Anuran Makur; Gregory W. Wornell; Lizhong Zheng (ISIT, 2020)

Estimation of Skill Distribution from a Tournament. - Ali Jadbabaie; Anuran Makur; Devavrat Shah (NeurIPS, 2020)

Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. - Ali Jadbabaie; Anuran Makur; Devavrat Shah (CoRR, 2020)

Comparison of Contraction Coefficients for f-Divergences. - Anuran Makur; L. Zheng (Probl. Inf. Transm., 2020)

Coding Theorems for Noisy Permutation Channels. - Anuran Makur (IEEE Trans. Inf. Theory, 2020)

Broadcasting on Random Directed Acyclic Graphs. - Anuran Makur; Elchanan Mossel; Yury Polyanskiy (IEEE Trans. Inf. Theory, 2020)

Reconstruction on 2D Regular Grids. - Anuran Makur; Elchanan Mossel; Yury Polyanskiy (ISIT, 2021)

Opinion Dynamics under Social Pressure. - Ali Jadbabaie; Anuran Makur; Elchanan Mossel; Rabih Salhab (CoRR, 2021)

Functional Linear Regression of CDFs. - Qian Zhang 067; Anuran Makur; Kamyar Azizzadenesheli (CoRR, 2022)

Gradient Descent for Low-Rank Functions. - Romain Cosson; Ali Jadbabaie; Anuran Makur; Amirhossein Reisizadeh; Devavrat Shah (CoRR, 2022)

Broadcasting on Two-Dimensional Regular Grids. - Anuran Makur; Elchanan Mossel; Yury Polyanskiy (IEEE Trans. Inf. Theory, 2022)

Gradient Descent with Low-Rank Objective Functions. - Romain Cosson; Ali Jadbabaie; Anuran Makur; Amirhossein Reisizadeh; Devavrat Shah (CDC, 2023)

Adaptive Low-Rank Gradient Descent. - Ali Jadbabaie; Anuran Makur; Amirhossein Reisizadeh (CDC, 2023)

Permutation Sum-Capacity of Binary Adder Multiple-Access Channels. - William Lu; Anuran Makur (ISIT, 2023)

On Properties of Doeblin Coefficients. - Anuran Makur; Japneet Singh (ISIT, 2023)

Testing for the Bradley-Terry-Luce Model. - Anuran Makur; Japneet Singh (ISIT, 2023)

On the Robustness of Mechanism Design under Total Variation Distance. - Anuran Makur; Marios Mertzanidis; Alexandros Psomas 001; Athina Terzoglou (NeurIPS, 2023)

Inference in Opinion Dynamics Under Social Pressure. - Ali Jadbabaie; Anuran Makur; Elchanan Mossel; Rabih Salhab (IEEE Trans. Autom. Control., 2023)

Federated Optimization of Smooth Loss Functions. - Ali Jadbabaie; Anuran Makur; Devavrat Shah (IEEE Trans. Inf. Theory, 2023)

Contraction Coefficients of Product Symmetric Channels. - Dongmin Lee; Anuran Makur (Allerton, 2024)

On Permutation Capacity Regions of Multiple-Access Channels. - William Lu; Anuran Makur (ISIT, 2024)

On Doeblin Curves and Their Properties. - William Lu; Anuran Makur; Japneet Singh (ISIT, 2024)

Exploring the Orthogonality and Linearity of Backdoor Attacks. - Kaiyuan Zhang 002; Siyuan Cheng 005; Guangyu Shen; Guanhong Tao 001; Shengwei An; Anuran Makur; Shiqing Ma; Xiangyu Zhang 001 (SP, 2024)

Minimax Hypothesis Testing for the Bradley-Terry-Luce Model. - Anuran Makur; Japneet Singh (CoRR, 2024)

Universal Features for High-Dimensional Learning and Inference. - Shao-Lun Huang; Anuran Makur; Gregory W. Wornell; Lizhong Zheng (Found. Trends Commun. Inf. Theory, 2024)

Sparse Contextual CDF Regression. - Kamyar Azizzadenesheli; William Lu; Anuran Makur; Qian Zhang 067 (Trans. Mach. Learn. Res., 2024)

Functional Linear Regression of Cumulative Distribution Functions. - Qian Zhang 067; Anuran Makur; Kamyar Azizzadenesheli (Trans. Mach. Learn. Res., 2024)

Permutation Capacity Region of Adder Multiple-Access Channels. - William Lu; Anuran Makur (IEEE Trans. Inf. Theory, 2024)

Doeblin Coefficients and Related Measures. - Anuran Makur; Japneet Singh (IEEE Trans. Inf. Theory, 2024)

Estimation of Skill Distributions. - Ali Jadbabaie; Anuran Makur; Devavrat Shah (IEEE Trans. Inf. Theory, 2024)