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math.OC2022
Langevin dynamics based algorithm e-THO POULA for stochastic optimization problems with discontinuous stochastic gradient
Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis +1
We introduce a new Langevin dynamics based algorithm, called e-THO POULA, to solve optimization problems with discontinuous stochastic gradients which naturally appear…
math.OC2021★ 1 cited
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function
Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis +1
We consider non-convex stochastic optimization problems where the objective functions have super-linearly growing and discontinuous stochastic gradients. In such a setting, we prov…