Reading Group

This is a reading group discussing problems from applied math. Topic varies from numerical analysis to optimization and operations research, etc.

Group Member

  • Dawei Li (Ph.D. student, UIUC)
    Research interest: Nonconvex optimization

  • Honglin Yuan (Ph.D. student, Stanford University)
    Research interest: Numerical optimization, randomized algorithms and theoretical computer science

  • Shengchao Lin (Ph.D. student, Rice University)
    Research interest: Numerical analysis and algorithm for nonlinear and large-scale problems

  • Luze Xu (Ph.D. student, University of Michigan)
    Research interest: Optimization theories

  • Xiaoyi Gu (Ph.D. student, Georgia Institute of Technology)
    Research interest: Nonconvex optimization

  • Yaqi Duan (Ph.D. student, Princeton University)
    Research interest: Optimization and reinforcement learning

Guest Speaker

  • Kailai Xu (Ph.D. student, Stanford University)
    Research interest: Optimization, linear algebra, numerical PDE, Monte Carlo, etc.

Presentation

  • May 06, 2018
    On the Local Minima Free Condition of Backpropagation Learning
    Presenter: Dawei Li

  • May 14, 2018
    Exact Augmented Lagrangian Duality for Mixed Integer Programming
    Presenter: Xiaoyi Gu

  • May 30, 2018
    Introduction to Implicit Constraint Optimization
    Presenter: Shengchao Lin

  • Jun 21, 2018
    More Virtuous Smoothing
    Presenter: Luze Xu

  • Jul 23, 2018
    Adaptive Low-Rank Approximation for State Aggregation of Markov Chain
    Presenter: Yaqi Duan

  • Aug 07, 2018
    Exact Augmented Lagrangian Duality for Mixed Integer Programming Ver.2
    Presenter: Xiaoyi Gu

  • Aug 15, 2018
    Introduction to Parareal algorithm
    Presenter: Shengchao Lin

  • Oct 27, 2018
    Total Unimodular Matrix
    Presenter: Luze Xu

  • Nov 10, 2018
    Temporal Difference Learning and A Finite Time Analysis with Linear Approximation
    Presenter: Dawei Li

  • Dec 02, 2018
    Acceleration Theory: Convex and Nonconvex (Part I)
    Presenter: Honglin Yuan

  • Dec 16, 2018
    Over-Parameterized Deep Neural Networks Have No Strict Local Minima For Any Continuous Activations
    Presenter: Dawei Li

  • Jan 26, 2019
    State Aggregation Learning From Markov Transition Data
    Presenter: Yaqi Duan

  • Apr 07, 2019
    On Proximity For Pure Integer Linear Optimization
    Presenter: Luze Xu

  • Jun 16, 2019
    Adversarial Numerical Analysis
    Presenter: Kailai Xu

  • Jun 27, 2019
    Parareal-Based Preconditioners for Linear-Quadratic Optimal Control Problems
    Presenter: Shengchao Lin

  • Nov 21, 2019
    Sub-Optimal Local Minima Exist for Almost All Over-parameterized Neural Networks
    Presenter: Dawei Li

  • Jun 25, 2020
    Improving proximity bounds using sparsity
    Presenter: Luze Xu