BoTier is a smooth, auto-differentiable hierarchical scalarization that encodes tiered preferences in Bayesian optimization and, on the paper's benchmarks, reaches threshold-satisfying solutions faster than Chimera and EHVI.
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BoTier: Multi-Objective Bayesian Optimization with Tiered Composite Objectives
BoTier is a smooth, auto-differentiable hierarchical scalarization that encodes tiered preferences in Bayesian optimization and, on the paper's benchmarks, reaches threshold-satisfying solutions faster than Chimera and EHVI.