ILP-BO: Integer Linear Programming-Based Black-Box Optimization

arXiv:2609.33131 · cs.LG, math.OC · Submitted 2026-09-27 · Read on arXiv

cs.LG, math.OC

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/bayesian-optimization/BayesianOptimization

Terminology

• Benchmark — 24× in this paper · explained in 2 episodes
• Bayesian Optimization — 18× in this paper · explained in 3 episodes
• Black-box Optimization — 18× in this paper
• Hamming Distance — 17× in this paper · explained in 2 episodes
• Acquisition Function — 11× in this paper · explained in 1 episode
• Initial Data — 8× in this paper · explained in 2 episodes
• Sample Efficiency — 5× in this paper · explained in 4 episodes
• Integer Linear Program — 4× in this paper
• Adam — 3× in this paper · explained in 2 episodes
• Combinatorial Optimization — 3× in this paper · explained in 2 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Low Autocorrelation Binary Sequences — 2× in this paper
• Verification — 2× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Gaussian Processes (GPs) — 1× in this paper · explained in 2 episodes
• Local Optimization — 1× in this paper · explained in 2 episodes
• Mixed Integer Programming — 1× in this paper
• Regret — 1× in this paper · explained in 3 episodes

Sources

• The SCIP Optimization Suite 9.0
• A Tutorial on Bayesian Optimization
• A black-box optimization method with polynomial-based kernels and quadratic-optimization annealing

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