Non-asymptotic bounds for modified tamed unadjusted Langevin algorithm in non-convex setting
We consider the problem of sampling from a target distribution $\pi_\beta$ on $\mathbb{R}^d$ with density proportional to $\theta\mapsto e^{-\beta U(\theta)}$ using explicit numerical schemes based on discretising the Langevin stochastic differential equation (SDE). In recent literature, taming has...
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| 格式: | Final Year Project |
| 語言: | English |
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Nanyang Technological University
2022
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| 在線閱讀: | https://hdl.handle.net/10356/156899 |
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| 機構: | Nanyang Technological University |
| 語言: | English |