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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…
stat.ML2017★ 16 cited
Convergence rate of a simulated annealing algorithm with noisy observations
Clément Bouttier, Ioana Gavra
In this paper we propose a modified version of the simulated annealing algorithm for solving a stochastic global optimization problem. More precisely, we address the problem of fin…