All Stories

  1. Convergence analysis of a subsampled Levenberg-Marquardt algorithm

    Article • Operations Research Letters, July 2023, Elsevier

    Xiantao Xiao

  2. Augmented Lagrangian Methods for Time-Varying Constrained Online Convex Optimization

    Article • Journal of the Operations Research Society of China, June 2023, Springer Science + Business Media

    Xiantao Xiao

  3. Stochastic Approximation Proximal Method of Multipliers for Convex Stochastic Programming

    Article • Mathematics of Operations Research, February 2023, INFORMS

    Xiantao Xiao

  4. Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm

    Article • INFORMS Journal on Computing, November 2022, INFORMS

    Xiantao Xiao

  5. A stochastic approximation method for convex programming with many semidefinite constraints

    Article • Optimization Methods and Software, July 2022, Taylor & Francis

    Xiantao Xiao

  6. Regrets of proximal method of multipliers for online non-convex optimization with long term constraints

    Article • Journal of Global Optimization, June 2022, Springer Science + Business Media

    Xiantao Xiao

  7. On the local convergence of a stochastic semismooth Newton method for nonsmooth nonconvex optimization

    Article • Science China Mathematics, March 2022, Springer Science + Business Media

    Xiantao Xiao

  8. A Unified Convergence Analysis of Stochastic Bregman Proximal Gradient and Extragradient Methods

    Article • Journal of Optimization Theory and Applications, January 2021, Springer Science + Business Media

    Xiantao Xiao

  9. A unified analysis of stochastic gradient‐free Frank–Wolfe methods

    Article • International Transactions in Operational Research, October 2020, Wiley

    Xiantao Xiao

  10. A Framework of Convergence Analysis of Mini-batch Stochastic Projected Gradient Methods

    Article • Journal of the Operations Research Society of China, November 2019, Springer Science + Business Media

    Xiantao Xiao

  11. A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization

    Article • SIAM Journal on Optimization, January 2019, Society for Industrial & Applied Mathematics (SIAM)

    Xiantao Xiao

  12. Later

    Article • Journal of Numerical Mathematics, September 2018, De Gruyter

    Xiantao Xiao

  13. A Regularized Semi-Smooth Newton Method with Projection Steps for Composite Convex Programs

    Article • Journal of Scientific Computing, December 2017, Springer Science + Business Media

    Xiantao Xiao

  14. Extended Levenberg-Marquardt Method for Composite Function Minimization

    Article • Journal of Computational Mathematics, June 2017, Global Science Press

    Xiantao Xiao

  15. Optimal Road Congestion Pricing for Both Traffic Efficiency and Safety under Demand Uncertainty

    Article • Journal of Transportation Engineering Part A Systems, April 2017, American Society of Civil Engineers (ASCE)

    Xiantao Xiao

  16. Convergence analysis on a smoothing approach to joint chance constrained programs

    Article • Optimization, September 2016, Taylor & Francis

    Xiantao Xiao

  17. A Parameter-Self-Adjusting Levenberg-Marquardt Method for Solving Nonsmooth Equations

    Article • Journal of Computational Mathematics, June 2016, Global Science Press

    Xiantao Xiao

  18. A subgradient-based convex approximations method for DC programming and its applications

    Article • Journal of Industrial & Management Optimization, January 2016, American Institute of Mathematical Sciences (AIMS)

    Xiantao Xiao

  19. A perturbation-based approach for continuous network design problem with emissions

    Article • Numerical Algebra Control & Optimization, January 2015, American Institute of Mathematical Sciences (AIMS)

    Xiantao Xiao

  20. On the global convergence of a parameter-adjusting Levenberg-Marquardt method

    Article • Numerical Algebra Control & Optimization, January 2015, American Institute of Mathematical Sciences (AIMS)

    Xiantao Xiao

  21. A Smoothing Function Approach to Joint Chance-Constrained Programs

    Article • Journal of Optimization Theory and Applications, January 2014, Springer Science + Business Media

    Xiantao Xiao

  22. On the Second-order Directional Derivatives of Singular Values of Matrices and Symmetric Matrix-valued Functions

    Article • Set-Valued and Variational Analysis, April 2013, Springer Science + Business Media

    Xiantao Xiao

  23. The second-order directional derivatives of singular values

    Article • Scientia Sinica Mathematica, January 2013, Science China Press., Co. Ltd.

    Xiantao Xiao

  24. A sequential convex program method to DC program with joint chance constraints

    Article • Journal of Industrial & Management Optimization, June 2012, American Institute of Mathematical Sciences (AIMS)

    Xiantao Xiao

  25. Quadratic model updating with gyroscopic structure from partial eigendata

    Article • Optimization and Engineering, February 2012, Springer Science + Business Media

    Xiantao Xiao

  26. A perturbation approach for a type of inverse linear programming problems

    Article • International Journal of Computer Mathematics, February 2011, Taylor & Francis

    Xiantao Xiao, Dr Jianzhong Zhang

  27. A Perturbation approach for an inverse quadratic programming problem

    Article • Mathematical Methods of Operations Research, August 2010, Springer Science + Business Media

    Xiantao Xiao, Dr Jianzhong Zhang

  28. A class of nonlinear Lagrangians for nonconvex second order cone programming

    Article • Computational Optimization and Applications, July 2009, Springer Science + Business Media

    Xiantao Xiao

  29. Log-Sigmoid nonlinear Lagrange method for nonlinear optimization problems over second-order cones

    Article • Journal of Computational and Applied Mathematics, July 2009, Elsevier

    Xiantao Xiao

  30. Solving a Class of Inverse QP Problems by a Smoothing Newton Method

    Article • Journal of Computational Mathematics, June 2009, Global Science Press

    Xiantao Xiao

  31. On convergence of augmented Lagrangian method for inverse semi-definite quadratic programming problems

    Article • Journal of Industrial & Management Optimization, January 2009, American Institute of Mathematical Sciences (AIMS)

    Xiantao Xiao, Dr Jianzhong Zhang

  32. A smoothing Newton method for a type of inverse semi-definite quadratic programming problem

    Article • Journal of Computational and Applied Mathematics, January 2009, Elsevier

    Xiantao Xiao, Dr Jianzhong Zhang

  33. An algorithm based on resolvent operators for solving variational inequalities in Hilbert spaces

    Article • Nonlinear Analysis, November 2008, Elsevier

    Xiantao Xiao

  34. A CLASS OF NONLINEAR LAGRANGIANS: THEORY AND ALGORITHM

    Article • Asia-Pacific Journal of Operational Research, June 2008, World Scientific Pub Co Pte Lt

    Xiantao Xiao

  35. Two differential equation systems for equality-constrained optimization

    Article • Applied Mathematics and Computation, July 2007, Elsevier

    Xiantao Xiao

  36. A nonlinear Lagrangian based on Fischer-Burmeister NCP function

    Article • Applied Mathematics and Computation, May 2007, Elsevier

    Xiantao Xiao

  37. Two differential equation systems for inequality constrained optimization

    Article • Applied Mathematics and Computation, May 2007, Elsevier

    Xiantao Xiao