Selwyn Gomes

About Selwyn Gomes

Selwyn Gomes, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of machine learning, Graph Neural Networks, Bayesian optimization, Deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Lenient Regret and Good-Action Identification in Gaussian Process Bandits

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

Selwyn Gomes Information

University

Position

Research Assistant

Citations(all)

27

Citations(since 2020)

27

Cited By

5

hIndex(all)

2

hIndex(since 2020)

2

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Selwyn Gomes Skills & Research Interests

machine learning

Graph Neural Networks

Bayesian optimization

Deep learning

Top articles of Selwyn Gomes

Lenient Regret and Good-Action Identification in Gaussian Process Bandits

38th International Conference on Machine Learning (ICML 2021)

2021/2/11

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

37th International Conference on Machine Learning (ICML 2020)

2020/2/5

See List of Professors in Selwyn Gomes University(National University of Singapore)