Unifies ES, CBO, and OVI black-box optimizers via two design axes and proposes hybrid methods that outperform base algorithms on benchmarks.
Gradient-free optimization via integration, 2024
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Derives that the conditional terminal law of the optimal controlled process is a Gibbs measure on a proximally penalized energy, giving potential, averaged-gradient, and barycentric drift formulas with terminal-time gradient recovery and low-temperature global-minimizer attraction.
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Bridging Spherical Black-Box Optimizers
Unifies ES, CBO, and OVI black-box optimizers via two design axes and proposes hybrid methods that outperform base algorithms on benchmarks.
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Optimal drift optimizer for non-convex optimization
Derives that the conditional terminal law of the optimal controlled process is a Gibbs measure on a proximally penalized energy, giving potential, averaged-gradient, and barycentric drift formulas with terminal-time gradient recovery and low-temperature global-minimizer attraction.