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20182025
most citedAn approach to large-scale Quasi-Bayesian inference with spike-and-slab priors

5 citations · 9 across the 8 of their papers we have counts for

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Showing 2022Show all

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cs.LG2022

Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation

Anwesha Bhattacharyya, Joel Vaughan, Vijayan N. Nair

Hyper-parameters (HPs) are an important part of machine learning (ML) model development and can greatly influence performance. This paper studies their behavior for three algorithm…