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nick-jhlee/README.md

👋 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

Pinned Loading

  1. CS454-TSP-Solver CS454-TSP-Solver Public

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

    Python 1

  2. chanijung/sway-perm chanijung/sway-perm Public

    Python 1

  3. fair-manifold-pca fair-manifold-pca Public

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

    C++ 11 3

  4. optimal-block-mdp optimal-block-mdp Public

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

    Jupyter Notebook

  5. bandits-network bandits-network Public

    Jupyter Notebook 1 1

  6. logistic_bandit logistic_bandit Public

    Forked from criteo-research/logistic_bandit

    Python 2 1