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
2192019
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
121*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
1182018
Adversarially Robust Optimization with Gaussian Processes
I Bogunovic, J Scarlett, S Jegelka, V Cevher
Conference on Neural Information Processing Systems (NeurIPS), 5763-5773, 2018
1002018
Phase Transitions in Group Testing
J Scarlett, V Cevher
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2016
892016
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
882017
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
852016
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
832018
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
832013
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
742016
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
J Scarlett, I Bogunovic, V Cevher
Conference on Learning Theory (COLT), 2017
712017
Time-Varying Gaussian Process Bandit Optimization
I Bogunovic, J Scarlett, V Cevher
International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
712016
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
702017
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
692019
Robust Submodular Maximization: A Non-Uniform Partitioning Approach
I Bogunovic, S Mitrović, J Scarlett, V Cevher
International Conference on Machine Learning (ICML), 2017
542017
Corruption-Tolerant Gaussian Process Bandit Optimization
I Bogunovic, A Krause, J Scarlett
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
472020
Noisy Adaptive Group Testing: Bounds and Algorithms
J Scarlett
IEEE Transactions on Information Theory 65 (6), 3646-3661, 2019
462019
Stochastic linear bandits robust to adversarial attacks
I Bogunovic, A Losalka, A Krause, J Scarlett
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
442021
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
352014
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
332020
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Artikkelit 1–20