Search Results for author: Selwyn Gomes

Found 2 papers, 2 papers with code

Lenient Regret and Good-Action Identification in Gaussian Process Bandits

1 code implementation11 Feb 2021 Xu Cai, Selwyn Gomes, Jonathan Scarlett

In this paper, we study the problem of Gaussian process (GP) bandits under relaxed optimization criteria stating that any function value above a certain threshold is "good enough".

Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors

1 code implementation ICML 2020 Zhaoqiang Liu, Selwyn Gomes, Avtansh Tiwari, Jonathan Scarlett

The goal of standard 1-bit compressive sensing is to accurately recover an unknown sparse vector from binary-valued measurements, each indicating the sign of a linear function of the vector.

Compressive Sensing

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