Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
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https://service.tib.eu/ldmservice/dataset/02c00d32-2a09-4a6b-add7-2256d69bbdea
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资源简介：
Recent studies on diffusion-based sampling methods have shown that Langevin Monte Carlo (LMC) algorithms can be beneficial for non-convex optimization, and rigorous theoretical guarantees have been proven for both asymptotic and finite-time regimes.
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TIB
创建时间：
2024-12-16
