Name: Junghyun Lee (Nick)
Type: User
Company: KAIST AI
Bio: PhD Candidate at OSI & OptiML Lab, GSAI, KAIST
(MSc at KAIST AI)
(BSc in Math/CS at KAIST)
Interests: theoretical AI and mathematics
Twitter: nick_jhlee
Location: Seoul, South Korea
Blog: https://nick-jhlee.github.io/
Junghyun Lee (Nick)'s Projects
CS300: Introduction to Algorithms at KAIST, 2018 Spring
CS320: Programming Languages at KAIST, 2019 Fall
CS470: Introduction to Artificial Intelligence at KAIST, 2019 Fall
EE531: Statistical Learning Theory at KAIST, Fall 2019
A mature, feature-complete library to parse command-line options.
Hybrid Optimization based on k-means clustering, ACO, PSO and 3-Opt (for Euclidean 2D TSP)
2019 ESCAMP 알고리즘 대회
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold (AAAI 2022)
A collection of useful .gitignore templates
Config files for my GitHub profile.
Codes for "Nearly Optimal Latent State Decoding in Block MDPs" (Jedra et al., 2022)
Standard Go Project Layout