Recent Talks

  • Exploring the Learning-based Optimization Algorithms, (pdf) (video)

  • An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization, (pdf)

  • A Monte Carlo Policy Gradient Method with Local Search for Binary Optimization, (pdf)

  • A Unified Primal-Dual Algorithm Framework for Inequality Constrained Problems, (pdf)

  • Efficient Algorithms For Low-rank Matrix Optimization (pdf)

  • Second-Order Type Optimization Algorithms For Machine Learning (pdf)

  • 机器学习中的优化算法与分析选讲 (pdf)
    运筹千里纵横论坛,2020年5月10日

  • A Brief Introduction to Manifold Optimization (pdf)

  • Second-Order Type Optimization Methods For Data Analysis (pdf)

  • Algorithms for Eigenvalue Optimization (pdf)
    第十届全国计算数学年会,广州,2015年9月

  • Low-rank factorization models for matrix completion and matrix separation (pdf)
    Institute for Pure and Applied Mathematics, UCLA, Oct 5, 2010 SIAM Conference on Image Science, San Diego, July, 2008

  • Line search multigrid methods for large-scale unconstrained nonconvex optimization (pdf)
    SIAM Conference on Optimization, Boston, May 2008