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
Vincent Y. F. TanDean's Chair Associate Professor, National University of SingaporeVerified email at nus.edu.sg
Zhaoqiang LiuAI Researcher, HuaweiVerified email at huawei.com
Anelia Somekh-BaruchBar-Ilan UniversityVerified email at biu.ac.il
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Subhrakanti DeyProfessor, Uppsala University, SwedenVerified email at angstrom.uu.se
Jamie EvansUniversity of MelbourneVerified email at unimelb.edu.au
Ling Yan HaoVerified email at u.nus.edu
Nelvin TanUniversity of CambridgeVerified email at cam.ac.uk
Eric PriceAssistant 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
Zihan LiNational University of SingaporeVerified email at u.nus.edu
Tolga CukurProfessor of Electrical EngineeringVerified email at ee.bilkent.edu.tr
Rabeeh Karimi MahabadiEPFLVerified email at epfl.ch

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


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	224	2019
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
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	122	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	106	2018
Phase Transitions in Group Testing J Scarlett, V Cevher ACM-SIAM Symposium on Discrete Algorithms (SODA), 2016	90	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	89	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	88	2017
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	86	2018
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	84	2013
Time-Varying Gaussian Process Bandit Optimization I Bogunovic, J Scarlett, V Cevher International Conference on Artificial Intelligence and Statistics (AISTATS), 2016	75	2016
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization J Scarlett, I Bogunovic, V Cevher Conference on Learning Theory (COLT), 2017	74	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	74	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	71	2019
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	70	2017
Robust Submodular Maximization: A Non-Uniform Partitioning Approach I Bogunovic, S Mitrović, J Scarlett, V Cevher International Conference on Machine Learning (ICML), 2017	56	2017
Corruption-Tolerant Gaussian Process Bandit Optimization I Bogunovic, A Krause, J Scarlett International Conference on Artificial Intelligence and Statistics (AISTATS), 2020	48	2020
Stochastic linear bandits robust to adversarial attacks I Bogunovic, A Losalka, A Krause, J Scarlett International Conference on Artificial Intelligence and Statistics (AISTATS), 2021	46	2021
Noisy Adaptive Group Testing: Bounds and Algorithms J Scarlett IEEE Transactions on Information Theory 65 (6), 3646-3661, 2019	46	2019
Expurgated random-coding ensembles: Exponents, refinements and connections J Scarlett, L Peng, N Merhav, A Martinez, A Guillén i Fàbregas IEEE Transactions on Information Theory 60 (8), 4449 - 4462, 2014	36	2014
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	33	2020

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