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Galen Reeves

Reeves

Associate Professor in the Department of Electrical and Computer Engineering

Appointments and Affiliations

  • Associate Professor in the Department of Electrical and Computer Engineering
  • Associate Professor of Statistical Science

Contact Information

  • Office Location: 140 Science Dr., 321 Gross Hall, Durham, NC 27708
  • Office Phone: (919) 668-4042
  • Email Address: galen.reeves@duke.edu
  • Websites:

Education

  • Ph.D. University of California - Berkeley, 2011

Research Interests

Information theory, high-dimensional statistical inference, statistical signal processing, compressed sensing, machine learning

Courses Taught

  • ECE 587: Information Theory
  • ECE 741: Compressed Sensing and Related Topics
  • MATH 228L: Probability for Statistical Inference, Modeling, and Data Analysis
  • STA 240L: Probability for Statistical Inference, Modeling, and Data Analysis
  • STA 563: Information Theory
  • STA 693: Research Independent Study
  • STA 711: Probability and Measure Theory
  • STA 741: Compressed Sensing and Related Topics

In the News

Representative Publications

  • Van Den Boom, W; Reeves, G; Dunson, DB, Erratum: Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation (Biometrika (2021) 108 (269-282) DOI: 10.1093/biomet/asaa068), Biometrika, vol 109 no. 1 (2022) [10.1093/biomet/asab019] [abs].
  • Kipnis, A; Reeves, G, Gaussian Approximation of Quantization Error for Estimation from Compressed Data, Ieee Transactions on Information Theory, vol 67 no. 8 (2021), pp. 5562-5579 [10.1109/TIT.2021.3083271] [abs].
  • VAN DEN Boom, W; Reeves, G; Dunson, DB, Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation., Biometrika, vol 108 no. 2 (2021), pp. 269-282 [10.1093/biomet/asaa068] [abs].
  • Reeves, G, A Two-Moment Inequality with Applications to Rényi Entropy and Mutual Information., Entropy, vol 22 no. 11 (2020) [10.3390/e22111244] [abs].
  • Barbier, J; Reeves, G, Information-theoretic limits of a multiview low-rank symmetric spiked matrix model, Ieee International Symposium on Information Theory Proceedings, vol 2020-June (2020), pp. 2771-2776 [10.1109/ISIT44484.2020.9173970] [abs].