Jeongyeol Kwon

1. A Fully First-Order Method for Stochastic Bilevel Optimization
   2023/01/26 by Jeongyeol Kwon, Kwon, Jeongyeol, Dohyun Kwon +5 · 28 citations
   Computer Science · Decision Sciences · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
2. On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
   2023/09/04 by Jeongyeol Kwon, Dohyun Kwon, Kwon, Jeongyeol +4 · 17 citations
   Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Statistical Methods and Inference
3. RL for Latent MDPs: Regret Guarantees and a Lower Bound
   2021/02/09 by Jeongyeol Kwon, Yonathan Efroni, Kwon, Jeongyeol +5 · 7 citations
   Computer Science · Decision Sciences · Mathematics · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Markov Chains and Monte Carlo Methods
4. Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
   2023/06/15 by Haoyue Bai, Gregory Canal, Bai, Haoyue +9 · 9 citations
   Computer Science · Environmental Science · #Anomaly Detection Techniques and Applications #Time Series Analysis and Forecasting #Hydrological Forecasting Using AI
5. On the Complexity of First-Order Methods in Stochastic Bilevel Optimization
   2024/02/11 by Jeongyeol Kwon, Kwon, Jeongyeol, Dohyun Kwon +3 · 7 citations
   Computer Science · Decision Sciences · Economics, Econometrics and Finance · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Optimization and Variational Analysis #Risk and Portfolio Optimization #Stochastic processes and financial applications
6. On the computational and statistical complexity of over-parameterized matrix sensing
   2021/01/27 by Jiacheng Zhuo, Zhuo, Jiacheng, Jeongyeol Kwon +5 · 4 citations
   Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Microwave Imaging and Scattering Analysis #Sparse and Compressive Sensing Techniques
7. EM Converges for a Mixture of Many Linear Regressions
   2019/05/28 by Jeongyeol Kwon, Kwon, Jeongyeol, Constantine Caramanis +1 · 4 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
8. Reward-Mixing MDPs with a Few Latent Contexts are Learnable
   2022/10/05 by Jeongyeol Kwon, Yonathan Efroni, Kwon, Jeongyeol +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
9. Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
   2025/10/22 by R Wu, Wu, Runzhe, Ayush Jain +16 · 2 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling