An elimination-based rejection-sampling algorithm with optimistic evaluators identifies target-feasible antichains in monotone co-design problems and propagates bounds compositionally through multigraphs.
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks
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Compositional Online Learning for Multi-Objective System Co-Design
An elimination-based rejection-sampling algorithm with optimistic evaluators identifies target-feasible antichains in monotone co-design problems and propagates bounds compositionally through multigraphs.