Xiao Wang

Follow

Generating author description...

All published works
Action Title Year Authors
+ A Momentum-Based Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Optimization 2025 Qingjiang Shi
Xiao Wang
Hao Wang
+ Complexity of Finite-Sum Optimization with Nonsmooth Composite Functions and Non-Lipschitz Regularization 2024 Xiao Wang
Xiaojun Chen
+ Stochastic Regularized Newton Methods for Nonlinear Equations 2023 Jiani Wang
Xiao Wang
Liwei Zhang
+ Dynamical convergence analysis for nonconvex linearized proximal ADMM algorithms 2023 Jiahong Guo
Xiao Wang
Xiantao Xiao
+ Preconditioned Primal-Dual Gradient Methods for Nonconvex Composite and Finite-Sum Optimization 2023 Jiahong Guo
Xiao Wang
Xiantao Xiao
+ An Interior Stochastic Gradient Method for a Class of Non-Lipschitz Optimization Problems 2022 Wanyou Cheng
Xiao Wang
Xiaojun Chen
+ A stochastic primal-dual method for a class of nonconvex constrained optimization 2022 Lingzi Jin
Xiao Wang
+ PDF Chat Room temperature ferromagnetism in ultra-thin van der Waals crystals of 1T-CrTe2 2020 Xingdan Sun
Wanying Li
Xiao Wang
Qi Sui
Tongyao Zhang
Zhi Wang
Long Liu
Da Li
Shun Feng
Siyu Zhong
+ Stochastic proximal quasi-Newton methods for non-convex composite optimization 2018 Xiaoyu Wang
Xiao Wang
Ya-xiang Yuan
+ Inexact proximal stochastic gradient method for convex composite optimization 2017 Xiao Wang
Shuxiong Wang
Hongchao Zhang
+ Isogeometric Least-squares Collocation Method with Consistency and Convergence Analysis 2016 Hongwei Lin
Yunyang Xiong
Xiao Wang
Qianqian Hu
+ Simultaneous Sparse Dictionary Learning and Pruning 2016 Simeng Qu
Xiao Wang
+ Penalty Methods with Stochastic Approximation for Stochastic Nonlinear Programming 2013 Xiao Wang
Shiqian Ma
Ya-xiang Yuan
+ PDF Chat On the asymptotics of penalized spline smoothing 2011 Xiao Wang
Jinglai Shen
David Ruppert
+ Local Asymptotics of P-Spline Smoothing 2009 Xiao Wang
David Ruppert
Jinglai Shen
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat A Proximal Stochastic Gradient Method with Progressive Variance Reduction 2014 Lin Xiao
Tong Zhang
5
+ PDF Chat Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization 2014 Saeed Ghadimi
Guanghui Lan
Hongchao Zhang
3
+ An augmented Lagrangian trust region method for equality constrained optimization 2014 Xiao Wang
Ya-xiang Yuan
2
+ Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization 2022 Qihang Lin
Runchao Ma
Yangyang Xu
2
+ SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives 2014 Aaron Defazio
Francis Bach
Simon Lacoste-Julien
2
+ PDF Chat Model Selection and Estimation in Regression with Grouped Variables 2005 Ming Yuan
Yi Lin
2
+ An improved algorithm for the $$L_2$$ L 2 – $$L_p$$ L p minimization problem 2017 Dongdong Ge
Rongchuan He
Simai He
2
+ Theory for penalised spline regression 2005 Peter Hall
Jean D. Opsomer
2
+ PDF Chat Minimizing finite sums with the stochastic average gradient 2016 Mark Schmidt
Nicolas Le Roux
Francis Bach
2
+ First-Order Methods for Constrained Convex Programming Based on Linearized Augmented Lagrangian Function 2021 Yangyang Xu
2
+ PDF Chat Spline Smoothing: The Equivalent Variable Kernel Method 1984 Bernard W. Silverman
2
+ Selecting the Number of Knots for Penalized Splines 2002 David Ruppert
2
+ Stochastic proximal quasi-Newton methods for non-convex composite optimization 2018 Xiaoyu Wang
Xiao Wang
Ya-xiang Yuan
2
+ Complexity analysis of interior point algorithms for non-Lipschitz and nonconvex minimization 2014 Wei Bian
Xiaojun Chen
Yinyu Ye
2
+ PDF Chat Lower Bound Theory of Nonzero Entries in Solutions of $\ell_2$-$\ell_p$ Minimization 2010 Xiaojun Chen
Fengmin Xu
Yinyu Ye
2
+ An augmented Lagrangian affine scaling method for nonlinear programming 2015 Xiao Wang
Hongchao Zhang
2
+ PDF Chat A Statistical Perspective on Ill-Posed Inverse Problems 1986 Finbarr O’Sullivan
2
+ PDF Chat [A Statistical Perspective on Ill-Posed Inverse Problems]: Rejoinder 1986 Finbarr O’Sullivan
2
+ PDF Chat Complexity of Partially Separable Convexly Constrained Optimization with Non-Lipschitzian Singularities 2019 Xiaojun Chen
Philippe L. Toint
Hao Wang
2
+ PDF Chat Stochastic Frank-Wolfe methods for nonconvex optimization 2016 Sashank J. Reddi
Suvrit Sra
BarnabĂĄs PĂłczos
Alex Smola
2
+ PDF Chat High-order evaluation complexity for convexly-constrained optimization with non-Lipschitzian group sparsity terms 2020 Xiaojun Chen
Philippe L. Toint
2
+ PDF Chat Primal-Dual Stochastic Gradient Method for Convex Programs with Many Functional Constraints 2020 Yangyang Xu
2
+ PDF Chat Optimality and Complexity for Constrained Optimization Problems with Nonconvex Regularization 2017 Wei Bian
Xiaojun Chen
2
+ Robust Stochastic Approximation Approach to Stochastic Programming 2009 Arkadi Nemirovski
Anatoli Juditsky
Guanghui Lan
Alexander Shapiro
2
+ On the asymptotics of penalized splines 2008 Yingxing Li
David Ruppert
2
+ PDF Chat Stochastic first-order methods for convex and nonconvex functional constrained optimization 2022 Digvijay Boob
Qi Deng
Guanghui Lan
2
+ A smoothing SQP framework for a class of composite $$L_q$$ L q minimization over polyhedron 2015 Ya‐Feng Liu
Shiqian Ma
Yu‐Hong Dai
Shuzhong Zhang
2
+ PDF Chat On the Evaluation Complexity of Composite Function Minimization with Applications to Nonconvex Nonlinear Programming 2011 Coralia Cartis
Nicholas I. M. Gould
Philippe L. Toint
2
+ PDF Chat A Comparison of a Spline Estimate to its Equivalent Kernel Estimate 1991 Karen Messer
2
+ PDF Chat Complexity of unconstrained $$L_2-L_p$$ minimization 2012 Xiaojun Chen
Dongdong Ge
Zizhuo Wang
Yinyu Ye
2
+ PDF Chat Asymptotic properties of penalized spline estimators 2009 Gerda Claeskens
Tatyana Krivobokova
Jean D. Opsomer
2
+ Multidimensional Penalized Signal Regression 2005 Brian D. Marx
Paul H.C. Eilers
2
+ PDF Chat Splines as Local Smoothers 1995 Douglas Nychka
2
+ <formula formulatype="inline"> <tex Notation="TeX">$L_{1/2}$</tex></formula> Regularization: A Thresholding Representation Theory and a Fast Solver 2012 Zongben Xu
Xiangyu Chang
Fengmin Xu
Hai Zhang
2
+ Absence of Ferromagnetism or Antiferromagnetism in One- or Two-Dimensional Isotropic Heisenberg Models 1966 N. David Mermin
Hermann‐Josef Wagner
1
+ The effect of calmness on the solution set of systems of nonlinear equations 2011 Roger Behling
Alfredo N. Iusem
1
+ PDF Chat On a Stochastic Approximation Method 1954 Kai Lai Chung
1
+ A new approach to symmetric rank-one updating 1999 M.W. Osborne
Liping Sun
1
+ Stochastic methods for <i>l</i> <sub>1</sub> regularized loss minimization 2009 Shai Shalev‐Shwartz
Ambuj Tewari
1
+ Approximations of stochastic partial differential equations 2016 Giulia Di Nunno
Tusheng Zhang
1
+ A smoothing Newton method for solving a class of stochastic linear complementarity problems 2011 Jia Tang
Changfeng Ma
1
+ PDF Chat Smoothing and worst-case complexity for direct-search methods in nonsmooth optimization 2012 R. Garmanjani
L. N. Vicente
1
+ Analysis of a Symmetric Rank-One Trust Region Method 1996 Richard H. Byrd
Humaid Khalfan
Robert B. Schnabel
1
+ Gradient methods for minimizing composite functions 2012 Yu. Nesterov
1
+ PDF Chat Flexible smoothing with B-splines and penalties 1996 Paul H.C. Eilers
Brian D. Marx
1
+ On almost everywhere convergence of tensor product spline projections 2013 Markus Passenbrunner
Joscha Prochno
1
+ Fundamentals of Convex Analysis 2001 Jean‐Baptiste Hiriart‐Urruty
Claude Lemaréchal
1
+ Estimating a Smooth Monotone Regression Function 1991 Enno Mammen
1
+ Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach 2010 Dong‐Min Kim
Suvrit Sra
Inderjit S. Dhillon
1
+ Stochastic methods based on Newton method to the stochastic variational inequality problem with constraint conditions 2011 Shuang Chen
Li-Ping Pang
Fangfang Guo
Zun-Quan Xia
1