Παρακολούθηση
Yuhua Zhu
Yuhua Zhu
Postdoctoral Fellow, Stanford University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα stanford.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
A consensus-based global optimization method for high dimensional machine learning problems
JA Carrillo, S Jin, L Li, Y Zhu
ESAIM: Control, Optimisation and Calculus of Variations 27, S5, 2021
1452021
Hypocoercivity and Uniform Regularity for the Vlasov--Poisson--Fokker--Planck System with Uncertainty and Multiple Scales
S Jin, Y Zhu
SIAM journal on Mathematical Analysis 50 (2), 1790-1816, 2018
552018
The Vlasov--Poisson--Fokker--Planck system with uncertainty and a one-dimensional asymptotic preserving method
Y Zhu, S Jin
Multiscale Modeling & Simulation 15 (4), 1502-1529, 2017
512017
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients
J An, L Ying, Y Zhu
arXiv preprint arXiv:2009.13447, 2020
452020
FedCBO: Reaching group consensus in clustered federated learning through consensus-based optimization
JA Carrillo, NG Trillos, S Li, Y Zhu
Journal of machine learning research 25 (214), 1-51, 2024
212024
Towards theoretical understanding of large batch training in stochastic gradient descent
X Dai, Y Zhu
arXiv preprint arXiv:1812.00542, 2018
112018
Borrowing from the future: An attempt to address double sampling
Y Zhu, L Ying
Mathematical and scientific machine learning, 246-268, 2020
82020
An interacting particle consensus method for constrained global optimization
JA Carrillo, S Jin, H Zhang, Y Zhu
arXiv preprint arXiv:2405.00891, 2024
72024
Borrowing from the future: Addressing double sampling in model-free control
Y Zhu, Z Izzo, L Ying
Mathematical and Scientific Machine Learning, 1099-1136, 2022
62022
The Vlasov–Fokker–Planck equation with high dimensional parametric forcing term
S Jin, Y Zhu, E Zuazua
Numerische Mathematik 150 (2), 479-519, 2022
62022
A note on optimization formulations of Markov decision processes
L Ying, Y Zhu
arXiv preprint arXiv:2012.09417, 2020
62020
Optimal factor analysis and applications to content-based image retrieval
Y Zhu, W Mio, X Liu
International Conference on Computer Vision and Computer Graphics, 164-176, 2007
62007
On Large Batch Training and Sharp Minima: A Fokker–Planck Perspective
X Dai, Y Zhu
Journal of Statistical Theory and Practice 14 (3), 1-31, 2020
52020
On Bellman equations for continuous-time policy evaluation I: discretization and approximation
W Mou, Y Zhu
arXiv preprint arXiv:2407.05966, 2024
42024
A local sensitivity and regularity analysis for the Vlasov-Poisson-Fokker-Planck system with multi-dimensional uncertainty and the spectral convergence of the stochastic …
Y Zhu
Networks and Heterogeneous Media 14 (4), 677-707, 2019
32019
PhiBe: A PDE-based Bellman equation for continuous time policy evaluation
Y Zhu
arXiv preprint arXiv:2405.12535, 2024
22024
Boundary Control of Vlasov--Fokker--Planck Equations
M Herty, S Jin, Y Zhu
arXiv preprint arXiv:2002.04215, 2020
22020
An uncertainty quantification approach to the study of gene expression robustness
P Degond, S Jin, Y Zhu
arXiv preprint arXiv:1910.07188, 2019
22019
CBO: Consensus-Based Bi-Level Optimization
NG Trillos, S Li, K Riedl, Y Zhu
arXiv preprint arXiv:2411.13394, 2024
12024
Continuous-in-time limit for Bayesian bandits
Y Zhu, Z Izzo, L Ying
Journal of Machine Learning Research 24 (305), 1-35, 2023
12023
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