Introduces ABP algorithm for constrained CPFL with convergence proofs and EFHV metric, demonstrating superior feasibility in experiments.
Bayesian optimization with unknown constraints, in: Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI), pp
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A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
Introduces ABP algorithm for constrained CPFL with convergence proofs and EFHV metric, demonstrating superior feasibility in experiments.