Kwang-Sung Jun

1. Adversarial Attacks on Stochastic Bandits
   2018/10/29 by Kwang-Sung Jun, Lihong Li, Jun, Kwang-Sung +5 · 10 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
2. Bilinear Bandits with Low-rank Structure
   2019/01/08 by Kwang-Sung Jun, Rebecca Willett, Jun, Kwang-Sung +5 · 5 citations
   Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Advanced Wireless Network Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
3. Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
   2021/11/05 by Yeoneung Kim, Insoon Yang, Kim, Yeoneung +3 · 5 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Reinforcement Learning in Robotics
4. Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
   2023/10/28 by Jung-Hyun Lee, Lee, Junghyun, Se-Young Yun +3 · 5 citations
   Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
5. Scalable Generalized Linear Bandits: Online Computation and Hashing
   2017/06/01 by Kwang-Sung Jun, Aniruddha Bhargava, Jun, Kwang-Sung +5 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
6. Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio
   2021/10/27 by Francesco Orabona, Kwang-Sung Jun, Orabona, Francesco +1 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Optimization and Search Problems #Statistics Theory (math.ST)
7. A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
   2024/07/19 by Jung Hyun Lee, Lee, Junghyun, Se-Young Yun +3 · 6 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Tighter PAC-Bayes Bounds Through Coin-Betting
   2023/02/12 by Kyoungseok Jang, Kwang-Sung Jun, Jang, Kyoungseok +5 · 3 citations
   Computer Science · #Machine Learning and Algorithms #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
9. Revisiting Simple Regret: Fast Rates for Returning a Good Arm
   2022/10/30 by Yao Zhao, Zhao, Yao, Connor Stephens +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
10. Improved Strongly Adaptive Online Learning using Coin Betting
    2016/10/14 by Kwang-Sung Jun, Jun, Kwang-Sung, Francesco Orabona +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
11. PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
    2022/10/25 by Kyoungseok Jang, Jang, Kyoungseok, Chicheng Zhang +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
12. Better-than-KL PAC-Bayes Bounds
    2024/02/14 by Ilja Kuzborskij, Kuzborskij, Ilja, Kwang-Sung Jun +7 · 1 citation
    Computer Science · Decision Sciences · #Data Mining Algorithms and Applications #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Rough Sets and Fuzzy Logic
13. GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression
    2025/06/03 by Jung-Hyun Lee, Kyoungseok Jang, Lee, Junghyun +7 · 2 citations
    Decision Sciences · Computer Science · Engineering · #Advanced Bandit Algorithms Research #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques