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Yury Polyanskiy

Yury Polyanskiy

D-Index & Metrics

Computer Science

D-Index
38
Citations
10303
World Ranking
9996
National Ranking
4212

Overview

Yury Polyanskiy is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their research spans a range of topics primarily situated at the intersection of computer science and mathematics, with substantial contributions in subfields such as artificial intelligence, statistics and probability, electrical and electronic engineering, computer networks and communications, and computational theory and mathematics.

The scientist's work encompasses several main topics, including:

  • Markov Chains and Monte Carlo Methods
  • Statistical Methods and Inference
  • Machine Learning and Algorithms
  • Stochastic Processes and Statistical Mechanics
  • Sparse and Compressive Sensing Techniques
  • Error Correcting Code Techniques
  • Cooperative Communication and Network Coding

They have authored numerous research papers, with selected recent publications including:

  • "Massive Access for Future Wireless Communication Systems," 2020, IEEE Wireless Communications
  • "Fundamental Limits of Many-User MAC With Finite Payloads and Fading," 2021, IEEE Transactions on Information Theory
  • "Capacity of Noisy Permutation Channels," 2023, IEEE Transactions on Information Theory
  • "Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models," 2020, arXiv (Cornell University)
  • "Unsourced Multiple Access: A Coding Paradigm for Massive Random Access," 2024, Proceedings of the IEEE

Frequently collaborating researchers include Alejandro Lancho, Yihong Wu, Amir Weiss, Gregory W. Wornell, and Philippe Rigollet.

The scientist has published extensively in venues such as arXiv (Cornell University), IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Information Theory, IEEE Open Journal of the Communications Society, and the 2022 IEEE International Symposium on Information Theory (ISIT).

Yury Polyanskiy has contributed to the literature with a book titled "Information Theory," published in 2024 by Cambridge University Press.

Best Publications

  • Channel Coding Rate in the Finite Blocklength Regime

    Yury Polyanskiy;H Vincent Poor;Sergio Verdu

  • Quasi-Static Multiple-Antenna Fading Channels at Finite Blocklength

    Wei Yang;Giuseppe Durisi;Tobias Koch;Yury Polyanskiy

  • A perspective on massive random-access

    Yury Polyanskiy

  • Channel coding: non-asymptotic fundamental limits

    H. Vincent Poor;Sergio Verdu;Yury Polyanskiy

  • Feedback in the Non-Asymptotic Regime

    Y. Polyanskiy;H. V. Poor;S. Verdu

  • Short-Packet Communications Over Multiple-Antenna Rayleigh-Fading Channels

    Giuseppe Durisi;Tobias Koch;Johan Ostman;Yury Polyanskiy

  • Low complexity schemes for the random access Gaussian channel

    Or Ordentlich;Yury Polyanskiy

  • Remote estimation of the Wiener process over a channel with random delay

    Yin Sun;Yury Polyanskiy;Elif Uysal-Biyikoglu

  • Massive Access for Future Wireless Communication Systems

    Yongpeng Wu;Xiqi Gao;Shidong Zhou;Wei Yang

  • Arimoto channel coding converse and Rényi divergence

    Yury Polyanskiy;Sergio Verdu

  • Sampling of the Wiener Process for Remote Estimation Over a Channel With Random Delay

    Yin Sun;Yury Polyanskiy;Elif Uysal

  • Dispersion of the Gilbert-Elliott channel

    Yury Polyanskiy;H Vincent Poor;Sergio Verdú

  • Saddle Point in the Minimax Converse for Channel Coding

    Y. Polyanskiy

  • Strong data-processing inequalities for channels and Bayesian networks

    Yury Polyanskiy;Yihong Wu

  • Channel dispersion and moderate deviations limits for memoryless channels

    Yury Polyanskiy;Sergio Verdu

  • The Information Bottleneck Problem and its Applications in Machine Learning

    Ziv Goldfeld;Yury Polyanskiy

  • Estimating Information Flow in Deep Neural Networks

    Ziv Goldfeld;Ewout van den Berg;Kristjan H. Greenewald;Igor Melnyk

  • Scalar coherent fading channel: Dispersion analysis

    Yury Polyanskiy;Sergio Verdu

  • Dispersion of Gaussian channels

    Yury Polyanskiy;H. Vincent Poor;Sergio Verdu

  • Wasserstein Continuity of Entropy and Outer Bounds for Interference Channels

    Yury Polyanskiy;Yihong Wu

Frequent Co-Authors

Yihong Wu
Yihong Wu Yale University
Sergio Verdu
Sergio Verdu Princeton University
Giuseppe Durisi
Giuseppe Durisi Chalmers University of Technology
H. Vincent Poor
H. Vincent Poor Princeton University
Giuseppe Caire
Giuseppe Caire Technical University of Berlin
Yin Sun
Yin Sun Auburn University
Brian Kingsbury
Brian Kingsbury IBM (United States)

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