1. An Away-step Frank-Wolfe Method for Convex Optimization Involving a Log-Homogeneous Barrier [slides]

    1. MOPTA, Lehigh University, Aug. 2023

    2. SIAM Conference on Optimization, Seattle, WA, June 2023

  2. First-Order Methods for Differentiable “Nonsmooth” Convex Optimization: A Tale of Frank-Wolfe and Multiplicative-Gradient [slides]

    1. RPI, Department of Mathematical Sciences, Dec. 2022

    2. University of Iowa, Department of Business Analytics, Nov. 2022

    3. Clemson University, Operations Research Seminar, Sept. 2022

  3. The Multiplicative Gradient Method: When and Why It Works? [slides]

    1. University of Waterloo, Workshop on Large Scale Optimization and Applications, Oct. 2022

    2. International Conference on Continuous Optimization, Lehigh University, July 2022

    3. INFORMS Optimization Society Conference, Greenville, SC, Mar. 2022

  4. Analysis of the Frank-Wolfe Method for Convex Composite Optimization involving a Logarithmically-Homogeneous Barrier [slides]

    1. INFORMS Annual Meeting, Oct. 2022

    2. SIAM Conference on Optimization, Jul. 2021

    3. MLO Group meeting, Microsoft Research Redmond, Sep. 2020

  5. A Primal Dual Smoothing Framework for Max-Structured Nonconvex Optimization [slides]

    1. INFORMS Annual Meeting, Nov. 2020

  6. Optimal Stochastic Algorithms for Convex-Concave Saddle Point Problems [slides]

    1. INFORMS Annual Meeting, Seattle, WA, Oct. 2019

    2. Department of ISEM, NUS, Singapore, May 2019

    3. RPI Applied Math Days, Troy, NY, Apr. 2019

  7. An Inexact Primal Dual Smoothing Framework for Large-Scale Non-Bilinear Saddle Point Problems [slides]

    1. INFORMS Annual Meeting, Seattle, WA, Oct. 2019

    2. MIT LIDS Student Conference, Cambridge, MA, Jan. 2019

  8. An Optimal Algorithm for Stochastic Three-Composite Optimization [slides]

    1. INFORMS Annual Meeting, Phoenix, AZ, Nov. 2018

    2. International Symposium on Mathematical Programming (ISMP), Bordeaux, France, Jul. 2018