Dr Jonathan Scarlett

Research Interests:

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

Additional links

Publications with LIONS (most recent)

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.

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.

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.

Adversarially Robust Optimization with Gaussian Processes

I. Bogunovic; J. Scarlett; S. Jegelka; V. Cevher 

2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.

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.