Anuran Makur

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 49

Top Topics

Linear Regression

Cumulative Distribution Functions

Directed Acyclic Graph

Top Venues

IEEE Trans. Inf. Theory

Publications

Kamyar Azizzadenesheli, William Lu, Anuran Makur, Qian Zhang
Sparse Contextual CDF Regression. Trans. Mach. Learn. Res. 2024 (2024)
Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng
Universal Features for High-Dimensional Learning and Inference. Found. Trends Commun. Inf. Theory 21 (1-2) (2024)
Qian Zhang, Anuran Makur, Kamyar Azizzadenesheli
Functional Linear Regression of Cumulative Distribution Functions. Trans. Mach. Learn. Res. 2024 (2024)
William Lu, Anuran Makur
Permutation Capacity Region of Adder Multiple-Access Channels. IEEE Trans. Inf. Theory 70 (7) (2024)
Anuran Makur, Japneet Singh
Doeblin Coefficients and Related Measures. IEEE Trans. Inf. Theory 70 (7) (2024)
William Lu, Anuran Makur
Permutation Sum-Capacity of Binary Adder Multiple-Access Channels. ISIT (2023)
Anuran Makur, Marios Mertzanidis, Alexandros Psomas, Athina Terzoglou
On the Robustness of Mechanism Design under Total Variation Distance. NeurIPS (2023)
Anuran Makur, Japneet Singh
Doeblin Coefficients and Related Measures. CoRR (2023)
Anuran Makur, Japneet Singh
On Properties of Doeblin Coefficients. ISIT (2023)
Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh
Adaptive Low-Rank Gradient Descent. CDC (2023)
Anuran Makur, Japneet Singh
Testing for the Bradley-Terry-Luce Model. ISIT (2023)
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Federated Optimization of Smooth Loss Functions. IEEE Trans. Inf. Theory 69 (12) (2023)
Anuran Makur, Marios Mertzanidis, Alexandros Psomas, Athina Terzoglou
On the Robustness of Mechanism Design under Total Variation Distance. CoRR (2023)
William Lu, Anuran Makur
Permutation Capacity Region of Adder Multiple-Access Channels. CoRR (2023)
Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
Gradient Descent with Low-Rank Objective Functions. CDC (2023)
Ali Jadbabaie, Anuran Makur, Elchanan Mossel, Rabih Salhab
Inference in Opinion Dynamics Under Social Pressure. IEEE Trans. Autom. Control. 68 (6) (2023)
Qian Zhang, Anuran Makur, Kamyar Azizzadenesheli
Functional Linear Regression of CDFs. CoRR (2022)
Anuran Makur, Elchanan Mossel, Yury Polyanskiy
Broadcasting on Two-Dimensional Regular Grids. IEEE Trans. Inf. Theory 68 (10) (2022)
Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
Gradient Descent for Low-Rank Functions. CoRR (2022)
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Federated Optimization of Smooth Loss Functions. CoRR (2022)
Anuran Makur, Elchanan Mossel, Yury Polyanskiy
Reconstruction on 2D Regular Grids. ISIT (2021)
Ali Jadbabaie, Anuran Makur, Elchanan Mossel, Rabih Salhab
Opinion Dynamics under Social Pressure. CoRR (2021)
Anuran Makur
Coding Theorems for Noisy Permutation Channels. CoRR (2020)
Anuran Makur
Coding Theorems for Noisy Permutation Channels. IEEE Trans. Inf. Theory 66 (11) (2020)
Anuran Makur, Elchanan Mossel, Yury Polyanskiy
Broadcasting on Random Directed Acyclic Graphs. IEEE Trans. Inf. Theory 66 (2) (2020)
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Estimation of Skill Distribution from a Tournament. NeurIPS (2020)
Anuran Makur, Elchanan Mossel, Yury Polyanskiy
Broadcasting on Two-Dimensional Regular Grids. CoRR (2020)
Anuran Makur
Bounds on Permutation Channel Capacity. ISIT (2020)
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. CoRR (2020)
Anuran Makur, L. Zheng
Comparison of Contraction Coefficients for f-Divergences. Probl. Inf. Transm. 56 (2) (2020)
Anuran Makur, Gregory W. Wornell, Lizhong Zheng
On Estimation of Modal Decompositions. ISIT (2020)
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Estimation of Skill Distributions. CoRR (2020)
Anuran Makur, Elchanan Mossel, Yury Polyanskiy
Broadcasting on Random Networks. ISIT (2019)
Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng
On Universal Features for High-Dimensional Learning and Inference. CoRR (2019)
David Qiu, Anuran Makur, Lizhong Zheng
Probabilistic Clustering Using Maximal Matrix Norm Couplings. CoRR (2018)
Anuran Makur
Information Capacity of BSC and BEC Permutation Channels. Allerton (2018)
Anuran Makur, Elchanan Mossel, Yury Polyanskiy
Broadcasting on Bounded Degree DAGs. CoRR (2018)
Anuran Makur, Elchanan Mossel, Yury Polyanskiy
Broadcasting on Random Directed Acyclic Graphs. CoRR (2018)
David Qiu, Anuran Makur, Lizhong Zheng
Probabilistic Clustering using Maximal Matrix Norm Couplings. Allerton (2018)
Anuran Makur, Yury Polyanskiy
Comparison of Channels: Criteria for Domination by a Symmetric Channel. IEEE Trans. Inf. Theory 64 (8) (2018)
Anuran Makur, Yury Polyanskiy
Less noisy domination by symmetric channels. ISIT (2017)
Shao-Lun Huang, Anuran Makur, Lizhong Zheng, Gregory W. Wornell
An information-theoretic approach to universal feature selection in high-dimensional inference. ISIT (2017)
Anuran Makur, Lizhong Zheng
Polynomial Singular Value Decompositions of a Family of Source-Channel Models. IEEE Trans. Inf. Theory 63 (12) (2017)
Anuran Makur, Lizhong Zheng
Polynomial spectral decomposition of conditional expectation operators. Allerton (2016)
Anuran Makur, Yury Polyanskiy
Comparison of channels: criteria for domination by a symmetric channel. CoRR (2016)
Anuran Makur, Fabian Kozynski, Shao-Lun Huang, Lizhong Zheng
An efficient algorithm for information decomposition and extraction. Allerton (2015)
Tarek A. Lahlou, Anuran Makur
Transient Signal Spaces and Decompositions. CoRR (2015)
Anuran Makur, Lizhong Zheng
Bounds between contraction coefficients. Allerton (2015)
Anuran Makur, Lizhong Zheng
Bounds between Contraction Coefficients. CoRR (2015)
Anuran Makur
Complex robust whitening with application to blind identification of same DoA multipath. Signal Process. 94 (2014)
Shao-Lun Huang, Anuran Makur, Fabian Kozynski, Lizhong Zheng
Efficient statistics: Extracting information from IID observations. Allerton (2014)