Yujia Jin I am a fourth-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.
 Preprints
 Stochastic Bias-Reduced Gradient Methods   [pdf] with Hilal Asi, Yair Carmon, Arun Jambulapati and Aaron Sidford "A low-bias low-cost estimator of subproblem solution suffices for acceleration! "
 Semi-Streaming Bipartite Matching in Fewer Passes and Optimal Space   [pdf] with Sepehr Assadi, Arun Jambulapati, Aaron Sidford and Kevin Tian "Streaming matching (and optimal transport) in $$\tilde{O}(1/\epsilon)$$ passes and $$O(n)$$ space."