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most citedTowards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks

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cs.LG2026

Beyond Objective-Based Improvement: Stationarity-Aware Expected Improvement for Bayesian Optimization

Joshua Hang Sai Ip, Georgios Makrygiorgos, Ali Mesbah

Bayesian Optimization (BO) is a principled framework for optimizing expensive black-box functions, with Expected Improvement (EI) among its most widely used acquisition functions.…