Inwoo Hwang

I am a final-year PhD student in Computer Science and Engineering at Seoul National University, advised by Byoung-Tak Zhang and Sanghack Lee. I am affiliated with AIIS. Prior to joining Ph.D program, I did my master study in School of Computing at KAIST. I earned my Bachelor's degree in Department of Mathematical Sciences from KAIST.

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Research

My research interest lies in the intersection of causality and machine learning. In particular, I am currently focused on (i) developing causal discovery methods and theory for causal effect identification, and (ii) building reliable and trustworthy machine learning systems (e.g., by utilizing causal knowledge).

Education
  • (2019.03 - current) Ph.D in Computer Science and Engineering, Seoul National University
  • (2010.02 - 2016.02) BS in Mathematical Science, KAIST
  • (2007.02 - 2010.02) Highschool, Korea Science Academy of KAIST
Publications

(* equal contribution, equal advising)

positivity On Positivity Condition for Causal Inference
Inwoo Hwang*, Yesong Choe*, Yeahoon Kwon, Sanghack Lee
  • International Conference on Machine Learning (ICML), 2024
  • [PDF]

    fcdl Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
    Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee
  • International Conference on Machine Learning (ICML), 2024
  • NeurIPS Workshop on Generalization in Planning, 2023
  • [PDF] [Code] [Workshop]

    mcts Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction
    Yunhyeok Kwak*, Inwoo Hwang*, Dooyoung Kim, Sanghack Lee, Byoung-Tak Zhang
  • Uncertainty in Artificial Intelligence (UAI), 2024   (Oral, 28/744=3.8%)
  • [PDF] [Code]

    deduce Causal Discovery with Deductive Reasoning: One Less Problem
    Jonghwan Kim, Inwoo Hwang, Sanghack Lee
  • Uncertainty in Artificial Intelligence (UAI), 2024
  • [PDF] [Code]

    LBS Learning Geometry-aware Representations by Sketching
    Hyundo Lee, Inwoo Hwang, Hyunsung Go, Won-Seok Choi, Kibeom Kim, Byoung-Tak Zhang
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  • [PDF] [Code]

    CSSI On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
    Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee
  • Conference on Causal Learning and Reasoning (CLeaR), 2023
  • NeurIPS Workshop on Causal Inference Challenges in Sequential Decision Making: Bridging Theory and Practice, 2021
  • [PDF] [Code] [Workshop]

    SelecMix SelecMix: Debiased Learning by Contradicting-pair Sampling
    Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
  • Neural Information Processing Systems (NeurIPS), 2022
  • ICML Workshop on Spurious Correlations, Invariance, and Stability, 2022
  • [PDF] [Code]

    CriticalPeriod On the Importance of Critical Period in Multi-stage Reinforcement Learning
    Junseok Park, Inwoo Hwang, Min Whoo Lee, Hyunseok Oh, Minsu Lee, Youngki Lee, Byoung-Tak Zhang
  • ICML Workshop on Complex Feedback in Online Learning, 2022
  • [PDF] [Workshop]

    ShapeCon Improving Robustness to Texture Bias via Shape-focused Augmentation
    Sangjun Lee, Inwoo Hwang, Gi-Cheon Kang, Byoung-Tak Zhang
  • CVPR Workshop on Human-centered Intelligent Services: Safety and Trustworthy, 2022
  • [PDF] [Workshop]

    Academic Services
    • Conference Reviewer: NeurIPS (2023-2024), ICLR (2024), ICML (2024), AISTATS (2024), CLeaR (2024), CVPR (2023-2024), ICCV (2023), ECCV (2024), ACCV (2024), ICRA (2024)
    • Journal Reviewer: IEEE Trans. Multimedia
    • Workshop Reviewer
      • Workshop on Spurious Correlations, Invariance, and Stability (ICML 2023)
      • Workshop on Causal Representation Learning (NeurIPS 2023)
      • Workshop on Reinforcement Learning Beyond Rewards (RLC 2024)
    Invited Talks
    • [Jun 2024] IITP Workshop
    • [Sep 2023] IITP Workshop
    • [May 2023] SNU AIIS Retreat
    • [Dec 2022] Korea Software Congress
    • [Nov 2022] Kakao Enterprise TechTalk
    • [Nov 2022] SNU AIIS Retreat
    • [Oct 2022] NAVER TechTalk
    Honors and Awards
    • UAI 2024 Scholarship
    • NAVER PhD Fellowship, 2022
    • NeurIPS 2022 Scholarship
    • BK21 Plus Scholarship, Republic of Korea
    • National Science and Technology Scholarship, Korea Student Aid Foundation
    • Gold Award, The Korean Mathematical Olympiad (KMO)
    Work Experience
    • (Aug 2012 - May 2014) Military service, Korean Augmentation To the US Army (KATUSA), Camp Humphreys
    Teaching Experience
    • [CS204] Discrete Mathematics, KAIST, 2016S - 2017F

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