Jiaqi Yang

Jiaqi Yang

Hi! I am a senior undergraduate at the Institute for Interdisciplinary Information Sciences, Tsinghua University. I major in Computer Science and Technology (Yao Class).

I am an incoming PhD student in Computer Science in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley.

I am broadly interested in foundations of data science, statistics, and applied probability.

During my undergraduate years, I am pleased to have collaborated with Prof. Yuan Zhou, Prof. Simon S. Du, Prof. Jason D. Lee, and Prof. Tengyu Ma.

Contact: yangjq17 ᴀᴛ {gmail.com, mails.tsinghua.edu.cn}; yjq ᴀᴛ berkeley.edu

Publications

  1. Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
    Kefan Dong, Jiaqi Yang, Tengyu Ma
    Preprint
  2. Variance-Aware Confidence Set: Variance-Dependent Bound for Linear Bandits and Horizon-Free Bound for Linear Mixture MDP
    Zihan Zhang*, Jiaqi Yang*, Xiangyang Ji, Simon S. Du
    Preprint
  3. Fully Gap-Dependent Bounds for Multinomial Logit Bandit
    Jiaqi Yang
    International Conference on Artificial Intelligence and Statistics (AISTATS) 2021
  4. Provable Benefits of Representation Learning in Linear Bandits
    Jiaqi Yang, Wei Hu, Jason D. Lee, Simon S. Du
    International Conference on Learning Representations (ICLR) 2021
  5. Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design
    Yufei Ruan*, Jiaqi Yang*, Yuan Zhou*
    ACM Symposium on Theory of Computing (STOC) 2021

Selected Awards

Teaching Assistant