Yujia Jin

I am a second-year PhD student in the Department of Management Science and Engineering at Stanford in the Operations Research group, advised by Aaron Sidford.

I am broadly interested in optimization problems, sometimes in the intersection with machine learning theory and graph applications. I enjoy understanding the theoretical ground of many algorithms that are of practical importance.

Prior to coming to Stanford, I received my Bachelor's degree in Applied Math at Fudan University, where I was fortunate to work with Prof. Zhongzhi Zhang. From 2016 to 2018, I also worked in Research Institute for Interdisciplinary Sciences (RIIS) at SHUFE, where I was fortunate to be advised by Prof. Dongdong Ge.

Email / Google Scholar

Selected Publications

Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
Yujia Jin, Aaron Sidford
Neural Information Processing Systems (NeurIPS, Spotlight), 2019

Variance Reduction for Matrix Games
Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian
Neural Information Processing Systems (NeurIPS, Oral), 2019