My legal name is Junhyung Kim (김준형), but I usually go by Lyle. I am a fourth year Ph.D. student in Computer Science at Rice University, advised by Prof. Anastasios Kyrillidis. I also work closely with Prof. César A. Uribe.
Before joining Rice, I was a research professional at the University of Chicago Booth School of Business supervised by Prof. Panos Toulis.
I received bachelor’s degrees in Mathematics and Statistics at the University of Chicago in 2017. During my senior year at the college, I also worked with Prof. Mikael Kuusela under the supervision of Prof. Michael L. Stein.
In summer 2022, I worked at Meta (Fundamental AI Research) as a research intern under the supervision of Dr. Aaron Defazio.
Here is my CV.
Ph.D. in Computer Science, 2019 - present
Rice University
B.A. in Mathematics; B.A. in Statistics, 2017
University of Chicago
[08 Dec 2022] I presented Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography at CDC 2022.
[03 Dec 2022] I presented Momentum Extragradient is Optimal for Games with Cross-Shaped Jacobian Spectrum at NeurIPS 2022 Workshop on Optimization for Machine Learning.
[24 Nov 2022] Our paper Fast Quantum State Tomography via Accelerated Non-convex Programming and Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography have been accepted at Quantum Information Processing 2023 for poster presentations.
[20 Oct 2022] Our paper Momentum Extragradient is Optimal for Games with Cross-Shaped Jacobian Spectrum has been accepted at NeurIPS 2022 Workshop on Optimization for Machine Learning.
[28 Jul 2022] I presented Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum at INFORMS 2022.