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Ying Zhang
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On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case
NH Chau, É Moulines, M Rásonyi, S Sabanis, Y Zhang
SIAM Journal on Mathematics of Data Science 3 (3), 959-986, 2021
412021
On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case
M Barkhagen, NH Chau, É Moulines, M Rásonyi, S Sabanis, Y Zhang
Bernoulli 27 (1), 1-33, 2021
282021
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization
Y Zhang, ÖD Akyildiz, T Damoulas, S Sabanis
https://arxiv.org/abs/1910.02008, 2019
252019
On explicit order 1.5 approximations with varying coefficients: the case of super-linear diffusion coefficients
S Sabanis, Y Zhang
Journal of Complexity 50, 84-115, 2019
162019
Higher order langevin monte carlo algorithm
S Sabanis, Y Zhang
Electronic Journal of Statistics 13 (2), 3805-3850, 2019
162019
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function
DY Lim, A Neufeld, S Sabanis, Y Zhang
arXiv preprint arXiv:2107.08649, 2021
52021
A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating
S Sabanis, Y Zhang
https://arxiv.org/abs/2007.01672, 0
2*
Langevin dynamics based algorithm e-THO POULA for stochastic optimization problems with discontinuous stochastic gradient
DY Lim, A Neufeld, S Sabanis, Y Zhang
arXiv preprint arXiv:2210.13193, 2022
2022
Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting
A Neufeld, MNC En, Y Zhang
arXiv preprint arXiv:2207.02600, 2022
2022
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