Pareto-Optimal Anytime Algorithms via Bayesian Racing
Pareto-Optimal Anytime Algorithms via Bayesian Racing explores PolarBear adaptively identifies Pareto-optimal optimization algorithms for anytime performance using Bayesian racing, enabling efficient algorithm selection under time constraints.. Commercial viability score: 7/10 in Algorithm Optimization.
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