Seuraa
Jonathan Scarlett
Jonathan Scarlett
Assistant Professor, Computer Science and Mathematics, National University of Singapore
Vahvistettu sähköpostiosoite verkkotunnuksessa comp.nus.edu.sg - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Group Testing: An Information Theory Perspective
M Aldridge, O Johnson, J Scarlett
Foundations and Trends in Communications and Information Theory 15 (3-4), 2019
1932019
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
116*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
992018
Adversarially Robust Optimization with Gaussian Processes
I Bogunovic, J Scarlett, S Jegelka, V Cevher
Conference on Neural Information Processing Systems (NeurIPS), 5763-5773, 2018
922018
Phase Transitions in Group Testing
J Scarlett, V Cevher
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2016
852016
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
842017
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
812013
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
772016
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
662018
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
662016
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
652019
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
J Scarlett, I Bogunovic, V Cevher
Conference on Learning Theory (COLT), 2017
622017
Time-Varying Gaussian Process Bandit Optimization
I Bogunovic, J Scarlett, V Cevher
International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
592016
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
542017
Robust Submodular Maximization: A Non-Uniform Partitioning Approach
I Bogunovic, S Mitrović, J Scarlett, V Cevher
International Conference on Machine Learning (ICML), 2017
492017
Noisy Adaptive Group Testing: Bounds and Algorithms
J Scarlett
IEEE Transactions on Information Theory 65 (6), 3646-3661, 2019
412019
Corruption-Tolerant Gaussian Process Bandit Optimization
I Bogunovic, A Krause, J Scarlett
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
402020
Stochastic linear bandits robust to adversarial attacks
I Bogunovic, A Losalka, A Krause, J Scarlett
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
352021
Near-optimal noisy group testing via separate decoding of items
J Scarlett, V Cevher
IEEE Journal of Selected Topics in Signal Processing 12 (5), 902-915, 2018
312018
Second-Order Rate Region of Constant-Composition Codes for the Multiple-Access Channel
J Scarlett, A Martinez, A Guillén i Fàbregas
IEEE Transactions on Information Theory 61 (1), 157-172, 2015
312015
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