My research interests lie in theoretical machine learning and stochastic optimization. I currently work on understanding and designing optimization methods in machine learning, specifically, stochastic gradient descent and its variants, and adaptive gradient descent methods.
I received my Bachelor degree in Math and Applied Math from University of Science and Technology of China.
Publications and Preprints
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes.
Xiaoyu Li, Francesco Orabona. In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019. Paper
Research Intern @ Nokia Bell Labs, Murray Hill, NJ.
Host: Carl Nuzman June - Aug. 2019
Reviewer of NeurIPS2019 \& 2020; AISTATS2020, ICML2020