Non-asymptotic estimates for TUSLA algorithm for non-convex learning
with applications to neural networks with ReLU activation function

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Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function

IMA Journal of Numerical Analysis (IMA J. Numer. Anal.), 2021

19 July 2021

Sotirios Sabanis

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Papers citing "Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function"

9 / 9 papers shown

Title
On theoretical guarantees and a blessing of dimensionality for nonconvex sampling Martin Chak 240 2 0 12 Nov 2024
Taming the Interacting Particle Langevin Algorithm: The Superlinear case Tim Johnston Nikolaos Makras Sotirios Sabanis 303 3 0 28 Mar 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 474 36 0 22 Feb 2024
Taming under isoperimetry Iosif Lytras Sotirios Sabanis 177 8 0 15 Nov 2023
Non-convex sampling for a mixture of locally smooth potentials D. Nguyen 198 0 0 31 Jan 2023
$Langevin dynamics based algorithm e-TH$\varepsilon$O POULA for stochastic optimization problems with discontinuous stochastic gradient$ Langevin dynamics based algorithm e-TH $\varepsilon$ O POULA for stochastic optimization problems with discontinuous stochastic gradientMathematics of Operations Research (MOR), 2022 Dongjae Lim Ariel Neufeld Sotirios Sabanis Ying Zhang 166 7 0 24 Oct 2022
Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex settingJournal of Mathematical Analysis and Applications (JMAA), 2022 Ariel Neufeld Matthew Ng Cheng En Ying Zhang 254 18 0 06 Jul 2022
Global convergence of optimized adaptive importance samplersFoundations of Data Science (FODS), 2022 Ömer Deniz Akyildiz 238 7 0 02 Jan 2022
Unadjusted Langevin algorithm for sampling a mixture of weakly smooth potentials D. Nguyen 170 5 0 17 Dec 2021