Selected recent talks

  • First-order methods for nonlinear optimization with a few constraints, ICCOPT, Lehigh University, July 26, 2022. [Slides]

  • Distributed stochastic inertial-accelerated methods with delayed derivatives, INFORMS Optimization Society Conference, Greenville, SC, March 13, 2022. [Slides]

  • First-order methods for nonlinear-constrained optimization, Machine Learning Seminar, UMN, Virtual, Dec. 02, 2021.

  • Asynchronous Parallel Adaptive Stochastic Gradient Methods, SIAM Conference on CSE, Virtual, Mar. 04, 2021.

  • Near-optimal first-order methods for nonlinear programs with O(1) functional constraints, PKU Workshop on Optimization Theory and Methods, Virtual, Jan. 31, 2021.

  • Adaptive primal-dual stochastic gradient methods, INFORMS Annual Meeting, Virtual, Nov. 13, 2020. [Slides]

  • Low-rank tensor approximation and completion, SIAM Conference on Imaging, Virtual, July, 13, 2020.

  • Lower complexity bounds of first-order methods for convex-concave bilinear saddle-point problems, ICCOPT, Berlin, August 06, 2019. [Slides]

  • First-order methods for convex and nonconvex functional constrained problems, CUHK-Shenzhen, August 02, 2019.

  • Iteration complexity of inexact augmented Lagrangian method for nonlinearly constrained convex optimization problems, INFORMS International Conference, Taipei, June 18, 2018.

  • First-order methods for convex programs with functional constraints, UCLA Applied Math Colloquium, Feb. 07, 2018; INFORMS Optimization Conference, March 24, 2018; SPOC, June 23, 2018.

  • Asynchronous parallel primal-dual block update method. MOPTA, Lehigh University, Aug. 16–18, 2017. [Slides]

  • Accelerated primal-dual methods for linearly constrained convex problems. SIAM Conference on Optimization. Vancouver, Canada, May 22–25, 2017. [Slides]