Jonathan Scarlett

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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
Yen-Huan LiAssistant Professor of Computer Science, National Taiwan UniversityVerified email at csie.ntu.edu.tw
Zhaoqiang LiuAI Researcher, HuaweiVerified email at huawei.com
Vincent Y. F. TanProfessor, Department of Mathematics, National University of SingaporeVerified email at nus.edu.sg
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Anelia Somekh-BaruchBar-Ilan UniversityVerified email at biu.ac.il
Ling Yan HaoVerified email at u.nus.edu
Subhrakanti DeyProfessor, Uppsala University, SwedenVerified email at angstrom.uu.se
Jamie EvansUniversity of MelbourneVerified email at unimelb.edu.au
Nelvin TanUniversity of CambridgeVerified email at cam.ac.uk
Zihan LiNational University of SingaporeVerified email at u.nus.edu
Eric PriceAssistant Professor of Computer Science at the University of Texas at AustinVerified email at cs.utexas.edu
Arpan LosalkaNational University of SingaporeVerified email at u.nus.edu
Luca BaldassarreLead Data Scientist, Swiss ReVerified email at swissre.com
Tolga CukurProfessor of Electrical EngineeringVerified email at ee.bilkent.edu.tr

Jonathan Scarlett

Assistant 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


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Group Testing: An Information Theory Perspective M Aldridge, O Johnson, J Scarlett Foundations and Trends in Communications and Information Theory 15 (3-4), 2019	251	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	131	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	123	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	123*	2014
Phase Transitions in Group Testing J Scarlett, V Cevher ACM-SIAM Symposium on Discrete Algorithms (SODA), 2016	96	2016
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	94	2018
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	94	2017
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	91	2016
Time-Varying Gaussian Process Bandit Optimization I Bogunovic, J Scarlett, V Cevher International Conference on Artificial Intelligence and Statistics (AISTATS), 2016	86	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	86	2013
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization J Scarlett, I Bogunovic, V Cevher Conference on Learning Theory (COLT), 2017	85	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	83	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	83	2016
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	74	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	62	2021
Robust Submodular Maximization: A Non-Uniform Partitioning Approach I Bogunovic, S Mitrović, J Scarlett, V Cevher International Conference on Machine Learning (ICML), 2017	60	2017
Noisy Adaptive Group Testing: Bounds and Algorithms J Scarlett IEEE Transactions on Information Theory 65 (6), 3646-3661, 2019	55	2019
Corruption-Tolerant Gaussian Process Bandit Optimization I Bogunovic, A Krause, J Scarlett International Conference on Artificial Intelligence and Statistics (AISTATS), 2020	52	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	40	2020
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models Z Liu, J Scarlett IEEE Journal on Selected Areas in Information Theory 1 (1), 292-303, 2020	38	2020

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