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Jonathan Scarlett

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Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization

Jan 11, 2024
Xu Cai, Jonathan Scarlett

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Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing

Sep 27, 2023
Nelvin Tan, Jonathan Scarlett, Ramji Venkataramanan

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Concomitant Group Testing

Sep 08, 2023
Thach V. Bui, Jonathan Scarlett

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Communication-Constrained Bandits under Additive Gaussian Noise

Apr 25, 2023
Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan

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Regret Bounds for Noise-Free Cascaded Kernelized Bandits

Nov 10, 2022
Zihan Li, Jonathan Scarlett

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Benefits of Monotonicity in Safe Exploration with Gaussian Processes

Nov 03, 2022
Arpan Losalka, Jonathan Scarlett

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Max-Quantile Grouped Infinite-Arm Bandits

Oct 04, 2022
Ivan Lau, Yan Hao Ling, Mayank Shrivastava, Jonathan Scarlett

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Theoretical Perspectives on Deep Learning Methods in Inverse Problems

Jun 29, 2022
Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar

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Model-Based and Graph-Based Priors for Group Testing

May 24, 2022
Ivan Lau, Jonathan Scarlett, Yang Sun

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Generative Principal Component Analysis

Mar 18, 2022
Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett

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