Light

nick-jhlee Goto Github PK

followers: 27.0 following: 41.0 repos: 18.0 gists: 0.0

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/

👋 Hi, I’m @nick-jhlee (Junghyun "Nick" Lee)

I'm currently a PhD candidate at the Graduate School of AI at KAIST, jointly supervised by Se-Young Yun and Chulhee Yun.

👀 My interests:

Reinforcement Learning Theory, Bandits
(Statistical/Online) Learning Theory
(High-dimensional) Statistics, Probability Theory
Deep Learning Theory, Optimization Theory
Algorithmic Fairness
Probabilistic Machine Learning (Bayesian inference, generative modeling, diffusion models)
Distributed Algorithms, Networks
GNN, Graphs
Applied Mathematics, Statistical Physics
ML/DL for Natural Sciences
... and more!

💞️ I’m always open to collaboration! Just reach me at

Google Scholar: https://scholar.google.com/citations?user=sYtSnnQAAAAJ&hl=en
Personal website: https://nick-jhlee.github.io/
LinkedIn: https://www.linkedin.com/in/junghyun-nick-lee-89799a197/
Twitter: https://twitter.com/nick_jhlee

Junghyun Lee (Nick)'s Projects

18spring_cs300_a

CS300: Introduction to Algorithms at KAIST, 2018 Spring

19fall_cs320

CS320: Programming Languages at KAIST, 2019 Fall

19fall_cs470

CS470: Introduction to Artificial Intelligence at KAIST, 2019 Fall

19fall_ee531

EE531: Statistical Learning Theory at KAIST, Fall 2019

bandits-network

command-line-args

A mature, feature-complete library to parse command-line options.

cs454-tsp-solver

Hybrid Optimization based on k-means clustering, ACO, PSO and 3-Opt (for Euclidean 2D TSP)

dl-theory-papers

escamp_alg

2019 ESCAMP 알고리즘 대회

fair-manifold-pca

Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold (AAAI 2022)

gitignore

A collection of useful .gitignore templates

logistic_bandit

nick-jhlee

Config files for my GitHub profile.

optimal-block-mdp

Codes for "Nearly Optimal Latent State Decoding in Block MDPs" (Jedra et al., 2022)

plant-circadian

powerlaw

project-layout

Standard Go Project Layout

theory-workshop

Recommend Projects

React

A declarative, efficient, and flexible JavaScript library for building user interfaces.
Vue.js

🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript

TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
TensorFlow

An Open Source Machine Learning Framework for Everyone
Django

The Web framework for perfectionists with deadlines.
Laravel

A PHP framework for web artisans
D3

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

javascript

JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
web

Some thing interesting about web. New door for the world.
server

A server is a program made to process requests and deliver data to clients.
Machine learning

Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Visualization

Some thing interesting about visualization, use data art
Game

Some thing interesting about game, make everyone happy.

Recommend Org

Facebook

We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft

Open source projects and samples from Microsoft.
Google

Google ❤️ Open Source for everyone.
Alibaba

Alibaba Open Source for everyone
D3

Data-Driven Documents codes.
Tencent

China tencent open source team.