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Electronics and Electrical Engineering

D-Index
40
Citations
13016
World Ranking
4387
National Ranking
1556

Overview

Anant Sahai is a researcher affiliated with the University of California, Berkeley in the United States. Their work primarily focuses on the field of Computer Science, with significant contributions in subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Statistics and Probability, and Electrical and Electronic Engineering.

The research topics covered in Sahai's publications include Statistical Methods and Inference, Advanced Bandit Algorithms Research, Face and Expression Recognition, Neural Networks and Applications, Auction Theory and Applications, Reinforcement Learning in Robotics, and Spectroscopy and Chemometric Analyses.

They have published multiple papers with recurrent collaborators, including Vignesh Subramanian, Adhyyan Narang, Vidya Muthukumar, Soham R. Phade, and V. Sai Muthukumar.

Frequent venues for their research dissemination are:

  • arXiv (Cornell University)
  • IEEE Access
  • Mathematics of Operations Research

Representative recent publications by Anant Sahai are:

  • "Classification vs regression in overparameterized regimes: Does the loss function matter?" (2020, arXiv (Cornell University))
  • "Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design" (2020, IEEE Access)
  • "Generalization for multiclass classification with overparameterized linear models" (2022, arXiv (Cornell University))
  • "Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models" (2023, arXiv (Cornell University))

Their research exhibits a focus on theoretical and applied aspects of classification problems in machine learning, modulation scheme learning in multi-agent systems, and generalization theories within overparameterized model regimes.

Best Publications

  • Cooperative Sensing among Cognitive Radios

    Shridhar Mubaraq Mishra;Anant Sahai;Robert W. Brodersen

  • SNR Walls for Signal Detection

    R. Tandra;A. Sahai

  • Shannon meets Tesla: Wireless information and power transfer

    Pulkit Grover;Anant Sahai

  • Fundamental limits on detection in low SNR under noise uncertainty

    R. Tandra;A. Sahai

  • What is a Spectrum Hole and What Does it Take to Recognize One

    R. Tandra;A. Sahai;S.M. Mishra

  • Stochastic linear control over a communication channel

    S. Tatikonda;A. Sahai;S. Mitter

  • The Necessity and Sufficiency of Anytime Capacity for Stabilization of a Linear System Over a Noisy Communication Link—Part I: Scalar Systems

    A. Sahai;S. Mitter

  • Power scaling for cognitive radio

    N. Hoven;A. Sahai

  • How Much White-Space Capacity Is There?

    Kate Harrison;Shridhar Mubaraq Mishra;Anant Sahai

  • Fundamental design tradeoffs in cognitive radio systems

    Anant Sahai;Rahul Tandra;Shridhar Mubaraq Mishra;Niels Hoven

  • Control of LQG systems under communication constraints

    S. Tatikonda;A. Sahai;S. Mitter

  • System, method, apparatus and means for constructing building tomography and timing information

    Wallace Mann;Anant Sahai

  • Towards a Communication-Theoretic Understanding of System-Level Power Consumption

    P. Grover;K. Woyach;A. Sahai

  • Design of a low-latency, high-reliability wireless communication system for control applications

    Matthew Weiner;Milos Jorgovanovic;Anant Sahai;Borivoje Nikolie

  • Algorithms for GPS operation indoors and downtown

    Nainesh Agarwal;Julien Basch;Paul Beckmann;Piyush Bharti

  • Estimation bounds for localization

    Cheng Chang;A. Sahai

  • Why Do Block Length and Delay Behave Differently if Feedback Is Present

    A. Sahai

  • Harmless Interpolation of Noisy Data in Regression

    Vidya Muthukumar;Kailas Vodrahalli;Vignesh Subramanian;Anant Sahai

  • Fundamental tradeoffs in robust spectrum sensing for opportunistic frequency reuse

    Anant Sahai;Niels Hoven;Shridhar Mubaraq Mishra;Rahul Tandra

  • SNR Walls for Feature Detectors

    R. Tandra;A. Sahai

Frequent Co-Authors

Borivoje Nikolic
Borivoje Nikolic University of California, Berkeley
Michael Gastpar
Michael Gastpar École Polytechnique Fédérale de Lausanne
Henk Wymeersch
Henk Wymeersch Chalmers University of Technology
Venugopal V. Veeravalli
Venugopal V. Veeravalli University of Illinois at Urbana-Champaign
David Tse
David Tse Stanford University
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
Jan M. Rabaey
Jan M. Rabaey University of California, Berkeley
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Vivek S. Borkar
Vivek S. Borkar Indian Institute of Technology Bombay
Shilpa Talwar
Shilpa Talwar Intel (United States)

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