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20232026
most citedStochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation

2 citations · 7 across the 16 of their papers we have counts for

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cs.NE2024

Quality-Diversity Algorithms Can Provably Be Helpful for Optimization

Chao Qian, Ke Xue, Ren-Jian Wang

Quality-Diversity (QD) algorithms are a new type of Evolutionary Algorithms (EAs), aiming to find a set of high-performing, yet diverse solutions. They have found many successful a…