INVITED PLENARY TALK
INVITED TALKS
- Advances in Non-Convex Optimization: Shuffling Methods and Momentum Techniques for Machine Learning (Invited Plenary Talk). 5th international conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Metz, France, June 2025 (unable to attend)
- On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms. INFORMS Annual Meeting, Phoenix, AZ, October 2023
- New Perspective On The Convergence To A Global Solution Of Finite-sum Optimization. INFORMS Annual Meeting, Indianapolis, IN, October 2022
- Nesterov Accelerated Shuffling Gradient Method for Convex Optimization. Johns Hopkins University, Baltimore, MD, September 2022
- Hogwild! Over Distributed Local Data Sets With Linearly Increasing Mini-batch Sizes. INFORMS Annual Meeting, Anaheim, CA, October 2021
- A Unified Convergence Analysis for Shuffling-Type Gradient Methods. INFORMS Annual Meeting, National Harbor, MD, November 2020
- Finite-Sum Smooth Optimization with SARAH. INFORMS Annual Meeting, Seattle, WA, October 2019
- Inexact SARAH for Solving Stochastic Optimization Problems. INFORMS Annual Meeting, Phoenix, AZ, November 2018 [SLIDES]
- Inexact SARAH for Solving Stochastic Optimization Problems. DIMACS/TRIPODS/MOPTA, Bethlehem, PA, August 2018
- When does stochastic gradient algorithm work well? INFORMS Optimization Society Conference, Denver, CO, March 2018
- SARAH: Stochastic recursive gradient algorithm. INFORMS Annual Meeting, Houston, TX, October 2017 [SLIDES]
- SARAH algorithm. IBM Thomas J. Watson Research Center, Yorktown Heights, NY, August 2017
- A queueing system with on-demand servers: local stability of fluid limits. INFORMS Annual Meeting, Nashville, TN, November 2016 [SLIDES]
- A queueing system with on-demand servers: local stability of fluid limits. Modeling and Optimization: Theory and Applications, Bethlehem, PA, August 2016
