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cs.LG2024
High dimensional Bayesian Optimization via Condensing-Expansion Projection
Jiaming Lu, Rong J. B. Zhu
In high-dimensional settings, Bayesian optimization (BO) can be expensive and infeasible. The random embedding Bayesian optimization algorithm is commonly used to address high-dime…
cs.LG2023
Little Exploration is All You Need
Henry H. H. Chen, Jiaming Lu
The prevailing principle of "Optimism in the Face of Uncertainty" advocates for the incorporation of an exploration bonus, generally assumed to be proportional to the inverse squar…