Anuran Makur
Computer Science · Purdue University West Lafayette
Publications
72
Citations
397
Est. group size
~2
Recurring co-author estimate
Active years
14
Publishing since 2013
Anuran Makur works at the intersection of information theory, statistics, and optimization, studying how to measure and exploit statistical structure in data and communication systems. Recent work covers topics like efficient gradient-based optimization methods, fairness in resource allocation, multi-user communication channels, and statistical estimation problems such as ranking and skill estimation. This research is largely mathematical and theoretical, aimed at establishing fundamental limits and provably efficient algorithms rather than building specific applied systems.
Publication output has grown over the last decade, rising from a few papers per year in 2017-2021 to a notably higher and more consistent pace of around 10-11 papers per year from 2023 onward.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Fair Division Under Inaccurate Preferences
Open MIND · 2026
- Fair Division Under Inaccurate Preferences
arXiv (Cornell University) · 2026
- Doeblin Curves
IEEE Transactions on Information Theory · 2026
- On the Oracle Complexity of Interpolation-Based Gradient Descent
IEEE Transactions on Automatic Control · 2026
- Unified High-Probability Analysis of Stochastic Variance-Reduced Estimation
arXiv (Cornell University) · 2026
- Unified High-Probability Analysis of Stochastic Variance-Reduced Estimation
arXiv (Cornell University) · 2026
- On the Oracle Complexity of Interpolation-Based Gradient Descent
arXiv (Cornell University) · 2026
- Doeblin Curves
arXiv (Cornell University) · 2026
- Universal Features for High-Dimensional Learning and Inference
Foundations and Trends® in Communications and Information Theory · 2024
- Permutation Capacity Region of Adder Multiple-Access Channels
IEEE Transactions on Information Theory · 2024
- Universal Features for High-Dimensional Learning and Inference
2024
- Estimation of Skill Distributions
IEEE Transactions on Information Theory · 2024
- Gradient-Based Empirical Risk Minimization Using Local Polynomial Regression
Stochastic Systems · 2024
- On Permutation Capacity Regions of Multiple-Access Channels
2024
- Contraction Coefficients of Product Symmetric Channels
2024
- arXiv (Cornell University)×24
- IEEE Transactions on Information Theory×10
- IEEE Transactions on Automatic Control×2
- Foundations and Trends® in Communications and Information Theory×1
- IEEE Open Journal of Control Systems×1
- Miaolan Xie
Computer Science · Purdue University West Lafayette
- Abolfazl Hashemi
Computer Science · Purdue University West Lafayette
- Kaiyi Ji
Computer Science · The Ohio State University
- Haoyu Wang
Computer Science · Purdue University West Lafayette
- Anindya Bijoy Das
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile