Dr Jonathan Scarlett ‒ LIONS ‐ EPFL

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

Additional links

Publications with LIONS (most recent)

Warning

Please note that the publication lists from Infoscience integrated into the EPFL website, lab or people pages are frozen following the launch of the new version of platform. The owners of these pages are invited to recreate their publication list from Infoscience. For any assistance, please consult the Infoscience help or contact support.

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.

Detailed record

View at publisher

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.

Detailed record

Full text

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.

Detailed record

Full text – View at publisher

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.

Detailed record

Full text – View at publisher

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.

Detailed record

Full text – View at publisher