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Chanwoo Park
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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
202022
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
182021
Factor-√ 2 acceleration of accelerated gradient methods
C Park, J Park, EK Ryu
Applied Mathematics & Optimization, 2022
152022
Optimal first-order algorithms as a function of inequalities
C Park, EK Ryu
Journal of Machine Learning Research 25, 2024
62024
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
52023
Promptable behaviors: Personalizing multi-objective rewards from human preferences
M Hwang, L Weihs, C Park, K Lee, A Kembhavi, K Ehsani
arXiv preprint arXiv:2312.09337, 2023
42023
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
42023
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), 2019
32019
Adaptive Collaboration Strategy for LLMs in Medical Decision Making
Y Kim, C Park, H Jeong, YS Chan, X Xu, D McDuff, C Breazeal, HW Park
arXiv preprint arXiv:2404.15155, 2024
12024
Do LLM Agents Have Regret? A Case Study in Online Learning and Games
C Park*, X Liu*, A Ozdaglar, K Zhang
arXiv preprint arXiv:2403.16843, 2024
12024
Mirror Duality in Convex Optimization
J Kim, C Park, A Ozdaglar, J Diakonikolas, EK Ryu
arXiv preprint arXiv:2311.17296, 2023
12023
Principled RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation
C Park, M Liu, K Zhang, A Ozdaglar
arXiv preprint arXiv:2405.00254, 2024
2024
DeepHisCoM: deep learning pathway analysis using hierarchical structural component models
C Park, B Kim, T Park
Briefings in Bioinformatics 23 (5), bbac171, 2022
2022
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