activity
20132023
most citedDealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes

295 citations · 931 across the 14 of their papers we have counts for

collaborators
Showing 2016Show all

1 paper · 1 filter

stat.ML2016★ 125 cited

Deep Gaussian Processes for Regression using Approximate Expectation Propagation

Thang D. Bui, Daniel Hernández-Lobato, Yingzhen Li +2

Deep Gaussian processes (DGPs) are multi-layer hierarchical generalisations of Gaussian processes (GPs) and are formally equivalent to neural networks with multiple, infinitely wid…