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stat.ML2023
Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions
Marelys Crespo Navas, Sébastien Gadat, Xavier Gendre
In this paper, we investigate a continuous time version of the Stochastic Langevin Monte Carlo method, introduced in [WT11], that incorporates a stochastic sampling step inside the…
stat.ML2020★ 3 cited
Asymptotic study of stochastic adaptive algorithm in non-convex landscape
Sébastien Gadat, Ioana Gavra
This paper studies some asymptotic properties of adaptive algorithms widely used in optimization and machine learning, and among them Adagrad and Rmsprop, which are involved in mos…