Jonathan Scarlett

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Citations	3357	2802
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Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar.Verified email at epfl.ch
Albert Guillen i FabregasUniversity of Cambridge, Universitat Pompeu FabraVerified email at ieee.org
Ilija BogunovicAssistant professor, UCLVerified email at ucl.ac.uk
Alfonso MartinezSerra-Húnter Associate Professor, Universitat Pompeu Fabra (Spain)Verified email at ieee.org
Oliver JohnsonProfessor of Information Theory, School of Mathematics, University of Bristol, UKVerified email at bristol.ac.uk
Matthew AldridgeUniversity of LeedsVerified email at leeds.ac.uk
Zhaoqiang LiuData Intelligence Group, UESTCVerified email at uestc.edu.cn
Yen-Huan LiAssociate Professor of Computer Science, National Taiwan UniversityVerified email at csie.ntu.edu.tw
Vincent Y. F. TanProfessor, Department of Mathematics, National University of SingaporeVerified email at nus.edu.sg
Anelia Somekh-BaruchBar-Ilan UniversityVerified email at biu.ac.il
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Ling Yan HaoVerified email at u.nus.edu
Nelvin TanUniversity of CambridgeVerified email at cam.ac.uk
Subhrakanti DeyProfessor, Uppsala University, SwedenVerified email at angstrom.uu.se
Jamie EvansUniversity of MelbourneVerified email at unimelb.edu.au
Zihan LiNational University of SingaporeVerified email at u.nus.edu
Arpan LosalkaNational University of SingaporeVerified email at u.nus.edu
Eric PriceAssociate Professor of Computer Science at the University of Texas at AustinVerified email at cs.utexas.edu
Luca BaldassarreLead Data Scientist, Swiss ReVerified email at swissre.com
Subhro GhoshNational University of SingaporeVerified email at nus.edu.sg

Jonathan Scarlett

Associate Professor, Computer Science and Mathematics, National University of Singapore

Verified email at comp.nus.edu.sg - Homepage

Information Theory Machine Learning High-dimensional Statistics Group Testing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Group Testing: An Information Theory Perspective M Aldridge, O Johnson, J Scarlett Foundations and Trends in Communications and Information Theory 15 (3-4), 2019	287	2019
Learning-Based Compressive MRI B Gözcü, RK Mahabadi, YH Li, E Ilıcak, T Cukur, J Scarlett, V Cevher IEEE Transactions on Medical Imaging 37 (6), 1394-1406, 2018	150	2018
Adversarially Robust Optimization with Gaussian Processes I Bogunovic, J Scarlett, S Jegelka, V Cevher Conference on Neural Information Processing Systems (NeurIPS), 5763-5773, 2018	145	2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups P Rolland, J Scarlett, I Bogunovic, V Cevher International Conference on Artificial Intelligence and Statistics (AISTATS), 2018	127	2018
Mismatched Decoding: Error Exponents, Second-Order Rates and Saddlepoint Approximations J Scarlett, A Martinez, A Guillén i Fàbregas IEEE Transactions on Information Theory 60 (5), 2647 - 2666, 2014	125*	2014
Time-Varying Gaussian Process Bandit Optimization I Bogunovic, J Scarlett, V Cevher International Conference on Artificial Intelligence and Statistics (AISTATS), 2016	106	2016
Phase Transitions in Group Testing J Scarlett, V Cevher ACM-SIAM Symposium on Discrete Algorithms (SODA), 2016	100	2016
Learning-Based Compressive Subsampling L Baldassarre, YH Li, J Scarlett, B Gözcü, I Bogunovic, V Cevher IEEE Journal on Selected Topics in Signal Processing, 2016	99	2016
Limits on Support Recovery with Probabilistic Models: An Information-Theoretic Framework J Scarlett, V Cevher IEEE Transactions on Information Theory 63 (1), 593 - 620, 2017	98	2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization J Scarlett, I Bogunovic, V Cevher Conference on Learning Theory (COLT), 2017	96	2017
The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels J Scarlett, VYF Tan, G Durisi IEEE Transactions on Information Theory 63 (1), 81 - 92, 2017	95	2017
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation I Bogunovic, J Scarlett, A Krause, V Cevher Conference on Neural Information Processing Systems (NIPS), 2016	89	2016
Compressed Sensing With Prior Information: Information-Theoretic Limits and Practical Decoders J Scarlett, JS Evans, S Dey IEEE Transactions on Signal Processing 61 (2), 427-439, 2013	89	2013
Performance of group testing algorithms with near-constant tests-per-item O Johnson, M Aldridge, J Scarlett IEEE Transactions on Information Theory 65 (2), 707-723, 2019	79	2019
Stochastic linear bandits robust to adversarial attacks I Bogunovic, A Losalka, A Krause, J Scarlett International Conference on Artificial Intelligence and Statistics (AISTATS), 2021	76	2021
Robust Submodular Maximization: A Non-Uniform Partitioning Approach I Bogunovic, S Mitrović, J Scarlett, V Cevher International Conference on Machine Learning (ICML), 2017	71	2017
Noisy Adaptive Group Testing: Bounds and Algorithms J Scarlett IEEE Transactions on Information Theory 65 (6), 3646-3661, 2019	64	2019
Corruption-Tolerant Gaussian Process Bandit Optimization I Bogunovic, A Krause, J Scarlett International Conference on Artificial Intelligence and Statistics (AISTATS), 2020	59	2020
Information-Theoretic Foundations of Mismatched Decoding J Scarlett, A Guillén i Fàbregas, A Somekh-Baruch, A Martinez Foundations and Trends in Communications and Information Theory 17 (2-3 …, 2020	54	2020
Gaussian Process Bandit Optimization with Few Batches Z Li, J Scarlett International Conference on Artificial Intelligence and Statistics (AISTATS), 2022	45	2022

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