2 citations · 4 across the 3 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2022★ 2 cited
Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals
Yan Zuo, Amir Dezfouli, Iadine Chades +2
Many real-world optimisation problems are defined over both categorical and continuous variables, yet efficient optimisation methods such asBayesian Optimisation (BO) are not desig…
stat.ML2020★ 2 cited
Residual Likelihood Forests
Yan Zuo, Tom Drummond
This paper presents a novel ensemble learning approach called Residual Likelihood Forests (RLF). Our weak learners produce conditional likelihoods that are sequentially optimized u…
stat.ML2018
Generative Adversarial Forests for Better Conditioned Adversarial Learning
Yan Zuo, Gil Avraham, Tom Drummond
In recent times, many of the breakthroughs in various vision-related tasks have revolved around improving learning of deep models; these methods have ranged from network architectu…