| A unified analysis of mixed sample data augmentation: A loss function perspective C Park*, S Yun*, S Chun Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 42 | 2022 |
| A geometric structure of acceleration and its role in making gradients small fast J Lee, C Park, E Ryu Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021 | 28 | 2021 |
| Mdagents: An adaptive collaboration of llms for medical decision-making Y Kim, C Park, H Jeong, YS Chan, X Xu, D McDuff, H Lee, M Ghassemi, ... Advances in Neural Information Processing Systems 37 (NeurIPS 2024, Oral), 2024 | 21 | 2024 |
| RLHF from heterogeneous feedback via personalization and preference aggregation C Park, M Liu, D Kong, K Zhang, A Ozdaglar arXiv preprint arXiv:2405.00254, 2024 | 20* | 2024 |
| Factor-√ 2 acceleration of accelerated gradient methods C Park, J Park, EK Ryu Applied Mathematics & Optimization, 2022 | 20 | 2022 |
| Do LLM Agents Have Regret? A Case Study in Online Learning and Games C Park*, X Liu*, A Ozdaglar, K Zhang International Conference on Learning Representations (ICLR 2025), 2024 | 18 | 2024 |
| Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value J Kim*, A Ozdaglar*, C Park*, EK Ryu* Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023 | 14 | 2023 |
| Optimal first-order algorithms as a function of inequalities C Park, EK Ryu Journal of Machine Learning Research (JMLR), 2024 | 11 | 2024 |
| Multi-Player Zero-Sum Markov Games with Networked Separable Interactions C Park*, K Zhang*, A Ozdaglar Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023 | 10 | 2023 |
| Promptable behaviors: Personalizing multi-objective rewards from human preferences M Hwang, L Weihs, C Park, K Lee, A Kembhavi, K Ehsani Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2024 | 9 | 2024 |
| DeepHisCoM: deep learning pathway analysis using hierarchical structural component models C Park, B Kim, T Park Briefings in Bioinformatics 23 (5), bbac171, 2022 | 6 | 2022 |
| Mirror duality in convex optimization J Kim, C Park, A Ozdaglar, J Diakonikolas, EK Ryu arXiv preprint arXiv:2311.17296, 2023 | 4 | 2023 |
| Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes C Park, N Jiang, T Park Genomics & Informatics 17 (4), e47, 2019 | 4 | 2019 |
| A Hypothesis on Black Swan in Unchanging Environments H Lee, C Park, D Abel, M Jin International Conference on Learning Representations (ICLR 2025), 2024 | 1* | 2024 |
| MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning C Park, S Han, X Guo, A Ozdaglar, K Zhang, JK Kim arXiv preprint arXiv:2502.18439, 2025 | | 2025 |
Asuman OzdaglarMathworks Professor, EECS, MITPreverjeni e-poštni naslov na mit.edu