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Motivated by applications to deep learning which often fail standard Lipschitz smoothness requirements, we examine the problem of sampling from distributions that are not log-concave and are only weakly dissipative, with log-gradients allowed to grow
Externí odkaz:
http://arxiv.org/abs/2405.17693
Publikováno v:
Interactive Technology and Smart Education, 2024, Vol. 21, Issue 4, pp. 489-498.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ITSE-11-2024-252
