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math.ST2019★ 16 cited
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization
Ying Zhang, Ömer Deniz Akyildiz, Theodoros Damoulas +1
In this paper, we are concerned with a non-asymptotic analysis of sampling algorithms used in nonconvex optimization. In particular, we obtain non-asymptotic estimates in Wasserste…
stat.CO2019
Convergence rates for optimised adaptive importance samplers
Ömer Deniz Akyildiz, Joaquín Míguez
Adaptive importance samplers are adaptive Monte Carlo algorithms to estimate expectations with respect to some target distribution which \textit{adapt} themselves to obtain better…