Dr Jonathan Scarlett

Research Interests:

  • Information theory
  • Machine learning
  • High-dimensional statistics
  • Signal processing 

Biography

Jonathan is an assistant professor in the Department of Computer Science, Department of Mathematics, and Institute of Data Science at the National University of SingaporeI

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Publications with LIONS (most recent)

Mismatched Rate-Distortion Theory: Ensembles, Bounds, and General Alphabets

M. Kanabar; J. Scarlett 

Ieee Transactions On Information Theory. 2024-03-01. Vol. 70, num. 3, p. 1525-1539. DOI : 10.1109/TIT.2024.3356477.

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Robust Collaborative Learning with Linear Gradient Overhead

S. Farhadkhani; R. Guerraoui; N. Gupta; L. N. Hoang; R. Pinot et al. 

2023-07-31. International Conference on Machine Learning, Honolulu, Hawaii, USA, July 23-29, 2023. p. 9761-9813.

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An Introductory Guide to Fano’s Inequality with Applications in Statistical Estimation

J. Scarlett; V. Cevher 

Information-Theoretic Methods in Data Science; Cambridge University Press, 2021. p. 487-528.

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Overlapping Multi-Bandit Best Arm Identification

J. Scarlett; I. Bogunovic; V. Cevher 

2019. The 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, July 7-12, 2019. p. 2544-2548. DOI : 10.1109/ISIT.2019.8849327.

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Near-Optimal Noisy Group Testing via Separate Decoding of Items

J. Scarlett; V. Cevher 

IEEE Journal of Selected Topics In Signal Processing. 2018-10-01. Vol. 12, num. 5, p. 902-915. DOI : 10.1109/JSTSP.2018.2844818.

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