* indicates alphabetical order or equal contribution.

I can also be found on Google Scholar.

Full paper lists

Preprints

  • Chanwoo Park*, Xiangyu Liu*, Asuman Ozdaglar, Kaiqing Zhang, “Do LLM Agents Have Regret? A Case Study in Online Learning and Games”, pdf, (Oral presentation at How Far Are We From AGI, ICLR 2024, Invited Talk at INFORMS 2024)
  • Chanwoo Park, Mingyang Liu, Dingwen Kong, Kaiqing Zhang, Asuman Ozdaglar, “RLHF with Diverse Feedback via Personalization and Preference Aggregation”, Submitted.
  • Yubin Kim, Chawoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Marzyeh Ghassemi, Cynthia Breazeal, Hae Won Park, “Adaptive Collaboration Strategy for LLMs in Medical Decision Making”, Submitted.
  • Jaeyeon Kim, Chanwoo Park, Asuman Ozdaglar, Jelena Diakonikolas, Ernest K. Ryu, “Mirror Duality in Convex Optimization”, pdf
  • Gunmin Lee, Jae Seok Heo, Dohyeong Kim, Jeongwoo Oh, Minyoung Hwang, Chanwoo Park, Kyungjae Lee, Songhwai Oh, “SafeIL: Safety Constrained Imitation Learning for Autonomous Systems”, Submitted.
  • Hyunin Lee, Chanwoo Park, David Abel, Ming Jin, Javad Lavaei, Somayeh Sojoudi, “A Black Swan Hypothesis: the Role of Human Perception in Unchanging Environments”, Submitted. pdf

Published Papers

  • Chanwoo Park, Ernest K. Ryu, “Optimal First-Order Algorithms as a Function of Inequalities”, Journal of Machine Learning (JMLR) 2024 pdf
  • Minyoung Hwang, Luca Weihs, Chanwoo Park, Kimin Lee, Aniruddha Kembhavi, Kiana Ehsani, “Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences”, CVPR 2024, pdf
  • Chanwoo Park*, Kaiqing Zhang*, Asuman Ozdaglar, “Multi-Player Zero-Sum Markov Games with Networked Separable Interactions”, NeurIPS 2023, Invited Talk at INFORMS 2023 pdf
  • Jaeyeon Kim*, Asuman Ozdaglar*, Chanwoo Park*, Ernest K. Ryu*, “Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value”, NeurIPS 2023, (Oral presentation at Duality Principles for Modern ML, ICML 2023), pdf
  • Chanwoo Park*, Sangdoo Yun*, Sanghyuk Chun, “A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective”, NeurIPS 2022pdf
  • Chanwoo Park, Jisun Park, Ernest K. Ryu, “Factor-$\sqrt{2}$ Acceleration of Accelerated Gradient Methods”, Applied Mathematics and Optimization, 2022 pdf
  • Chanwoo Park, Boram Kim, Taesung Park, “DeepHisCoM: Deep Learning based Pathway Analysis”, Briefings in Bioinformatics, 2022
  • Jongmin Lee, Chanwoo Park, Ernest K. Ryu, “A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast”, NeurIPS 2021 pdf
  • Chanwoo Park, Nan Jiang, Taesung Park, “Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes”, Genomics & Informatics, Vol. 17, No. 4, Dec. 2019.