Ying Zhang

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All published works
Action Title Year Authors
+ PDF Chat Local well-posedness for the Schr\"{o}dinger-KdV system in $H^{s_1}\times H^{s_2}$, II 2024 Yingzhe Ban
Jie Chen
Ying Zhang
+ PDF Chat Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks 2024 Lei Liang
Ariel Neufeld
Ying Zhang
+ Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting 2024 Ariel Neufeld
Matthew Ng
Ying Zhang
+ PDF Chat Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms 2024 Ariel Neufeld
Ying Zhang
+ PDF Chat Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems 2024 Ariel Neufeld
Matthew Ng Cheng En
Ying Zhang
+ PDF Chat Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function 2023 Dong‐Young Lim
Ariel Neufeld
Sotirios Sabanis
Ying Zhang
+ PDF Chat Nonasymptotic Estimates for Stochastic Gradient Langevin Dynamics Under Local Conditions in Nonconvex Optimization 2023 Ying Zhang
Ömer Deniz Akyıldız
Theodoros Damoulas
Sotirios Sabanis
+ On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates 2023 Stefano Bruno
Ying Zhang
Dong‐Young Lim
Ömer Deniz Akyıldız
Sotirios Sabanis
+ Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting 2022 Ariel Neufeld
Matthew Ng Cheng En
Ying Zhang
+ Langevin dynamics based algorithm e-TH$\varepsilon$O POULA for stochastic optimization problems with discontinuous stochastic gradient 2022 Dong‐Young Lim
Ariel Neufeld
Sotirios Sabanis
Ying Zhang
+ PDF Chat The role of psychology in the pedagogical work aimed at the elimination of bleating in the process of teaching singing 2021 Ying Zhang
+ Quantifying measurement-induced nonbilocal correlation 2021 Ying Zhang
Kan He
+ Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function 2021 Dong‐Young Lim
Ariel Neufeld
Sotirios Sabanis
Ying Zhang
+ PDF Chat On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case 2021 Ngọc Huy ChĂąu
Éric Moulines
MiklĂłs RĂĄsonyi
Sotirios Sabanis
Ying Zhang
+ Sparse Representations of Solutions to a class of Random Boundary Value Problems 2021 Fang Yang
Min Chen
Jiecheng Chen
Ying Zhang
Tao Qian
+ PDF Chat On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case 2020 Mathias Barkhagen
Nancy H. Chau
Éric Moulines
MiklĂłs RĂĄsonyi
Sotirios Sabanis
Ying Zhang
+ A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating 2020 Sotirios Sabanis
Ying Zhang
+ A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating 2020 Sotirios Sabanis
Ying Zhang
+ PDF Chat Some prospective criteria for non-unique solutions of ordinary differential equations 2019 Juxia Xiong
Jinzhao Wu
Ying Zhang
Qinggeng Jin
+ On stochastic gradient Langevin dynamics with dependent data streams: the fully non-convex case 2019 Ngọc Huy ChĂąu
Éric Moulines
MiklĂłs RĂĄsonyi
Sotirios Sabanis
Ying Zhang
+ PDF Chat Higher order Langevin Monte Carlo algorithm 2019 Sotirios Sabanis
Ying Zhang
+ Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization 2019 Ying Zhang
Ömer Deniz Akyıldız
Theo Damoulas
Sotirios Sabanis
+ Stochastic orders for convolution of heterogeneous gamma and negative binomial random variables 2018 Ying Zhang
+ Ground State Solutions for Fractional p-Kirchhoff Equation with Subcritical and Critical Exponential Growth 2018 Ruichang Pei
Ying Zhang
Jihui Zhang
+ On explicit order 1.5 approximations with varying coefficients: The case of super-linear diffusion coefficients 2018 Sotirios Sabanis
Ying Zhang
+ Stochastic orders for convolution of heterogeneous gamma and negative binomial random variables 2018 Ying Zhang
+ Numerically pricing American options under the generalized mixed fractional Brownian motion model 2016 Wenting Chen
Bowen Yan
Guanghua Lian
Ying Zhang
+ PDF Chat Generalized Gronwall fractional summation inequalities and their applications 2015 Run Xu
Ying Zhang
+ A new multivariate dependence measure based on comonotonicity 2014 Ying Zhang
Chuancun Yin
+ A One-Parameter Filled Function Method Applied to Nonlinear Equations 2014 Weixiang Wang
Youlin Shang
Ying Zhang
+ PDF Chat Exponential inequality for ρ˜-mixing sequences and its applications 2014 Aiting Shen
Huayan Zhu
Ying Zhang
+ PDF Chat Global Minimization of Nonsmooth Constrained Global Optimization with Filled Function 2014 Weixiang Wang
Youlin Shang
Ying Zhang
+ A smoothing-type algorithm for absolute value equations 2013 Xiaoqin Jiang
Ying Zhang
+ In Vitro Bioequivalence Testing 2012 Hansheng Wang
Ying Zhang
Jun Shao
+ Conditional stability in determining a zeroth-order coefficient in a half-order fractional diffusion equation by a Carleman estimate 2012 Masahiro Yamamoto
Ying Zhang
+ Global minimization of non-smooth unconstrained problems with filled function 2011 W. Wang
Y. Shang
Liansheng Zhang
Ying Zhang
+ Bounds for the Solution of the Generalized Time Fractional Diffusion Equation 2011 Ying Zhang
+ On cohomology of almost complex 4-manifolds 2011 Qiang Tan
Hongyu Wang
Ying Zhang
Peng Zhu
+ <i>In Vitro</i>Bioequivalence Testing 2010 Hansheng Wang
Ying Zhang
Jun Shao
Shein‐Chung Chow
+ A Mixture Distribution Approach to Assessing Medication Refill Compliance with Administrative Pharmacy Refill Records 2010 Ying Zhang
Paul Cabilio
Maja Grubisić
Femida Gwadry‐Sridhar
+ PDF Chat Finding Global Minima with a Filled Function Approach for Non-Smooth Global Optimization 2010 Weixiang Wang
Youlin Shang
Ying Zhang
+ PDF Chat A Filled Function Approach for Nonsmooth Constrained Global Optimization 2010 Weixiang Wang
Youlin Shang
Ying Zhang
+ A New Method for Simultaneous Extraction of All Roots of Algebraic Polynomial 2009 Ying Zhang
Zhezhao Zeng
+ On the finite sample behavior of testing whether new is better than used of a specified age 2004 Ibrahim A. Ahmad
Wei Liu
Ying Zhang
+ In Vitro Bioequivalence Testing 2003 Hansheng Wang
Ying Zhang
Jun Shao
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient 2019 Arnak S. Dalalyan
Avetik Karagulyan
9
+ PDF Chat High-dimensional Bayesian inference via the unadjusted Langevin algorithm 2019 Alain Durmus
Éric Moulines
8
+ PDF Chat Theoretical Guarantees for Approximate Sampling from Smooth and Log-Concave Densities 2016 Arnak S. Dalalyan
8
+ The tamed unadjusted Langevin algorithm 2018 Nicolas Brosse
Alain Durmus
Éric Moulines
Sotirios Sabanis
8
+ PDF Chat On fixed gain recursive estimators with discontinuity in the parameters 2018 Huy N. Chau
Chaman Kumar
MiklĂłs RĂĄsonyi
Sotirios Sabanis
7
+ Quantitative Harris-type theorems for diffusions and McKean–Vlasov processes 2018 Andreas Eberle
Arnaud Guillin
Raphael Zimmer
7
+ PDF Chat Laplace's Method Revisited: Weak Convergence of Probability Measures 1980 Chii-Ruey Hwang
6
+ PDF Chat Nonasymptotic convergence analysis for the unadjusted Langevin algorithm 2017 Alain Durmus
Éric Moulines
5
+ PDF Chat Ergodicity for SDEs and approximations: locally Lipschitz vector fields and degenerate noise 2002 Jonathan C. Mattingly
Andrew M. Stuart
Desmond J. Higham
5
+ Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization 2017 Pan Xu
Jinghui Chen
Difan Zou
Quanquan Gu
5
+ None 2001 Zheng Xu
Hong-Xuan Huang
PĂŁnos M. Pardalos
Chengxian Xu
5
+ PDF Chat A note on tamed Euler approximations 2013 Sotirios Sabanis
5
+ On stochastic gradient Langevin dynamics with dependent data streams: the fully non-convex case 2019 Ngọc Huy ChĂąu
Éric Moulines
MiklĂłs RĂĄsonyi
Sotirios Sabanis
Ying Zhang
4
+ PDF Chat Strong and weak divergence in finite time of Euler's method for stochastic differential equations with non-globally Lipschitz continuous coefficients 2010 Martin Hutzenthaler
Arnulf Jentzen
Peter E. Kloeden
4
+ PDF Chat On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case 2020 Mathias Barkhagen
Nancy H. Chau
Éric Moulines
MiklĂłs RĂĄsonyi
Sotirios Sabanis
Ying Zhang
4
+ A New Filled Function Method for Global Optimization 2003 Liansheng Zhang
Chi-Kong Ng
Duan Li
Weiwen Tian
4
+ Sharp convergence rates for Langevin dynamics in the nonconvex setting 2018 Xiang Cheng
Niladri S. Chatterji
Yasin Abbasi-Yadkori
Peter L. Bartlett
Michael I. Jordan
4
+ PDF Chat Reflection couplings and contraction rates for diffusions 2015 Andreas Eberle
4
+ PDF Chat Nonasymptotic bounds for sampling algorithms without log-concavity 2020 Mateusz B. Majka
Aleksandar Mijatović
Ɓukasz Szpruch
4
+ Bayesian Learning via Stochastic Gradient Langevin Dynamics 2011 Max Welling
Yee Whye Teh
4
+ A filled function method for finding a global minimizer of a function of several variables 1990 Ge Ren-pu
4
+ PDF Chat Strong convergence of an explicit numerical method for SDEs with nonglobally Lipschitz continuous coefficients 2012 Martin Hutzenthaler
Arnulf Jentzen
Peter E. Kloeden
3
+ A class of filled functions for finding global minimizers of a function of several variables 1987 Renpu Ge
Yi Qin
3
+ Euler approximations with varying coefficients: The case of superlinearly growing diffusion coefficients 2016 Sotirios Sabanis
3
+ Handbook of Global Optimization 1995 Reiner Horst
PĂŁnos M. Pardalos
3
+ A hybrid Hooke and Jeeves|Direct method for non-smooth optimization. 2009 C. J. Price
B. L. Robertson
Marco Reale
3
+ Optimization and Nonsmooth Analysis 1990 Frank H. Clarke
3
+ PDF Chat Higher order Langevin Monte Carlo algorithm 2019 Sotirios Sabanis
Ying Zhang
3
+ PDF Chat On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case 2021 Ngọc Huy ChĂąu
Éric Moulines
MiklĂłs RĂĄsonyi
Sotirios Sabanis
Ying Zhang
3
+ PDF Chat Mesh Adaptive Direct Search Algorithms for Constrained Optimization 2006 Charles Audet
J. E. Dennis
3
+ On a class of mixing processes 1989 Låszló Gerencsér
3
+ Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis 2017 Maxim Raginsky
Alexander Rakhlin
Matus Telgarsky
2
+ Global Non-convex Optimization with Discretized Diffusions 2018 Murat A. Erdogdu
Lester Mackey
Ohad Shamir
2
+ On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case 2018 Mathias Barkhagen
Nancy H. Chau
Éric Moulines
MiklĂłs RĂĄsonyi
Sotirios Sabanis
Y. Zhang
2
+ The promises and pitfalls of Stochastic Gradient Langevin Dynamics 2018 Nicolas Brosse
Alain Durmus
Éric Moulines
2
+ A Collection of Test Problems for Constrained Global Optimization Algorithms 1990 Christodoulos A. Floudas
PĂŁnos M. Pardalos
2
+ Convergence of Langevin MCMC in KL-divergence 2018 Xiang Cheng
Peter L. Bartlett
2
+ The Tamed Unadjusted Langevin Algorithm 2017 Nicolas Brosse
Alain Durmus
Éric Moulines
Sotirios Sabanis
2
+ Non-asymptotic bounds for sampling algorithms without log-concavity 2018 Mateusz B. Majka
Aleksandar Mijatović
Ɓukasz Szpruch
2
+ PDF Chat Optimal posting price of limit orders: learning by trading 2013 Sophie Laruelle
Charles‐Albert Lehalle
Gilles PagĂšs
2
+ On the Solving Global Optimization Approach from Local to Global 2009 Liansheng Zhang
2
+ An Introduction to the Fractional Calculus and Fractional Differential Equations 1993 Kenneth S. Miller
Bertram Ross
2
+ A new filled function method for unconstrained global optimization 2005 Yongjian Yang
Youlin Shang
2
+ PDF Chat Stochastic C-Stability and B-Consistency of Explicit and Implicit Milstein-Type Schemes 2016 Wolf‐JĂŒrgen Beyn
Elena Isaak
Raphael Kruse
2
+ Stability of Markovian processes III: Foster–Lyapunov criteria for continuous-time processes 1993 Sean Meyn
Richard L. Tweedie
2
+ Geometric ergodicity of Metropolis algorithms 2000 SĂžren Fiig Jarner
Ernst Hansen
2
+ A new filled function for unconstrained global optimization 2005 Xiaoli Wang
Zhou Guo-biao
2
+ PDF Chat Stochastic approximation with averaging innovation applied to Finance 2012 Sophie Laruelle
Gilles PagĂšs
2
+ PDF Chat The tamed Milstein method for commutative stochastic differential equations with non-globally Lipschitz continuous coefficients 2012 Xiaojie Wang
Siqing Gan
2
+ PDF Chat Exponential Convergence of Langevin Distributions and Their Discrete Approximations 1996 Gareth O. Roberts
Richard L. Tweedie
2