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Author

Jeongyeol Kwon

Observed name: Kwon, Jeongyeol
Observed institutions: University of Wisconsin–Madison, Yonsei University, Wisconsin Institutes for Discovery, Meta (United States), Carnegie Mellon University, The University of Texas at Austin
ORCID: 0000-0002-7910-7817
Observed ORCID: 0000-0002-7910-7817
OpenAlex ID: A5000527109
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression
2019 · Jeongyeol Kwon, Wei Qian, et al. · Conference on Learning Theory · 24
EM Converges for a Mixture of Many Linear Regressions
2019 · Kwon, Jeongyeol, Caramanis, Constantine · arXiv (Cornell University) · 15
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On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression
2020 · Kwon, Jeongyeol, Ho, Nhat, et al. · arXiv (Cornell University) · 12
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Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
2023 · Bai, Haoyue, Canal, Gregory, et al. · arXiv (Cornell University) · 11
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The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians
2020 · Kwon, Jeongyeol, Caramanis, Constantine · arXiv (Cornell University) · 11
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On the computational and statistical complexity of over-parameterized matrix sensing
2021 · Zhuo, Jiacheng, Kwon, Jeongyeol, et al. · arXiv (Cornell University) · 10
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RL for Latent MDPs: Regret Guarantees and a Lower Bound
2021 · Kwon, Jeongyeol, Efroni, Yonathan, et al. · arXiv (Cornell University) · 9
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A Fully First-Order Method for Stochastic Bilevel Optimization
2023 · Kwon, Jeongyeol, Kwon, Dohyun, et al. · arXiv (Cornell University) · 8
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Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression
2018 · Kwon, Jeongyeol, Qian, Wei, et al. · arXiv (Cornell University) · 6
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Global Optimality of the EM Algorithm for Mixtures of Two-Component Linear Regressions
2024 · Jeongyeol Kwon, Wei Qian, et al. · IEEE Transactions on Information Theory · 3
Reinforcement Learning in Reward-Mixing MDPs
2021 · Kwon, Jeongyeol, Efroni, Yonathan, et al. · arXiv (Cornell University) · 3
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RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
2024 · Jeongyeol Kwon, Shie Mannor, et al. · neural information processing systems · 1
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On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
2023 · Kwon, Jeongyeol, Kwon, Dohyun, et al. · arXiv (Cornell University) · 1
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Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
2022 · Kwon, Jeongyeol, Efroni, Yonathan, et al. · arXiv (Cornell University) · 1
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EM Algorithm is Sample-Optimal for Learning Mixtures of Well-Separated Gaussians.
2020 · Jeongyeol Kwon, Constantine Caramanis · arXiv (Cornell University) · 1
Training Small Language Models for Transferable Tool Selection
2026 · Zhou, Zhaoyi, Magesh, Akshayaa, et al. · arXiv (Cornell University)
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Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations
2026 · Makkar, Aditya, Unger, Benjamin, et al. · arXiv (Cornell University)
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Continuous-Time Analysis for Minimax and Bilevel Problems
2026 · Lee, Hyunwoo, Kwon, Jeongyeol, et al. · arXiv (Cornell University)
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Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
2026 · Association for Computational Linguistics 2026, Efroni, Yonathan, et al. · Underline Science Inc.
Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
2026 · Runzhe Wu, Ankur Samanta, et al. · Findings of the Association for Computational Linguistics: EACL
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Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
2025 · Wu, Runzhe, Samanta, Ankur, et al. · arXiv (Cornell University)
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Optimal Zeroth-Order Bilevel Optimization
2025 · Aghasi, Alireza, Kwon, Jeongyeol, et al. · arXiv (Cornell University)
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A Classification View on Meta Learning Bandits
2025 · Mutti, Mirco, Kwon, Jeongyeol, et al. · arXiv (Cornell University)
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Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing
2025 · Ryu, J. Jon, Kwon, Jeongyeol, et al. · arXiv (Cornell University)
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Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
2024 · Kwon, Jeongyeol, Dotson, Luke, et al. · arXiv (Cornell University)
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Works count: 30
Citation count: 116
H-index: 8
I10-index: 6
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