Multi-dueling Bandits with Dependent Arms. - Yanan Sui; Vincent Zhuang; Joel W. Burdick; Yisong Yue (UAI, 2017)

Stagewise Safe Bayesian Optimization with Gaussian Processes. - Yanan Sui; Vincent Zhuang; Joel W. Burdick; Yisong Yue (ICML, 2018)

No-Regret Reinforcement Learning with Heavy-Tailed Rewards. - Vincent Zhuang; Yanan Sui (AISTATS, 2021)

Barkour: Benchmarking Animal-level Agility with Quadruped Robots. - Ken Caluwaerts; Atil Iscen; J. Chase Kew; Wenhao Yu 003; Tingnan Zhang; Daniel Freeman; Kuang-Huei Lee; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; et al. (CoRR, 2023)

Kepler: Robust Learning for Faster Parametric Query Optimization. - Lyric Doshi; Vincent Zhuang; Gaurav Jain; Ryan Marcus; Haoyu Huang; Deniz Altinbüken; Eugene Brevdo; Campbell Fraser (CoRR, 2023)

Kepler: Robust Learning for Parametric Query Optimization. - Lyric Doshi; Vincent Zhuang; Gaurav Jain; Ryan Marcus; Haoyu Huang; Deniz Altinbüken; Eugene Brevdo; Campbell Fraser (Proc. ACM Manag. Data, 2023)

When Growth Opportunities Meet Cybersecurity Risk: A Topic Modeling Approach. - Tracie Frost; Muktak K. Tripathi; Vincent Zhuang (HICSS, 2024)

The Design of the Barkour Benchmark for Robot Agility. - Wenhao Yu 003; Ken Caluwaerts; Atil Iscen; J. Chase Kew; Tingnan Zhang; Daniel Freeman; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; Federico Casarini; et al. (IROS, 2024)

Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes. - Yunyue Wei; Vincent Zhuang; Saraswati Soedarmadji; Yanan Sui (NeurIPS, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Maria Attarian; Maria Bauzá Villalonga; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Fu; Nimrod Gileadi; Marissa Giustina; et al. (Robotics: Science and Systems, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Montserrat Gonzalez Arenas; Maria Attarian; Maria Bauzá 001; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Kelly Fu; Nimrod Gileadi; et al. (CoRR, 2024)

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models. - Yinlam Chow; Guy Tennenholtz; Izzeddin Gur; Vincent Zhuang; Bo Dai 001; Aviral Kumar; Rishabh Agarwal; Sridhar Thiagarajan; Craig Boutilier; Aleksandra Faust (ICLR, 2025)

Training Language Models to Self-Correct via Reinforcement Learning. - Aviral Kumar; Vincent Zhuang; Rishabh Agarwal; Yi Su; John D. Co-Reyes; Avi Singh; Kate Baumli; Shariq Iqbal; Colton Bishop; Rebecca Roelofs; Lei M. Zhang; Kay McKinney; et al. (ICLR, 2025)

Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning. - Yunyue Wei; Shanning Zhuang; Vincent Zhuang; Yanan Sui (ICLR, 2025)