Jiaqi Yang

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 14

Top Topics

Multi Armed Bandit

Reinforcement Learning

Multinomial Logit

Top Venues

Publications

Jiaqi Yang, Qi Lei, Jason D. Lee, Simon S. Du
Nearly Minimax Algorithms for Linear Bandits with Shared Representation. CoRR (2022)
Yufei Ruan, Jiaqi Yang, Yuan Zhou
Linear bandits with limited adaptivity and learning distributional optimal design. STOC (2021)
Kefan Dong, Jiaqi Yang, Tengyu Ma
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature. NeurIPS (2021)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Going Beyond Linear RL: Sample Efficient Neural Function Approximation. NeurIPS (2021)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization. CoRR (2021)
Zihan Zhang, Jiaqi Yang, Xiangyang Ji, Simon S. Du
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP. NeurIPS (2021)
Zihan Zhang, Jiaqi Yang, Xiangyang Ji, Simon S. Du
Variance-Aware Confidence Set: Variance-Dependent Bound for Linear Bandits and Horizon-Free Bound for Linear Mixture MDP. CoRR (2021)
Kefan Dong, Jiaqi Yang, Tengyu Ma
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature. CoRR (2021)
Jiaqi Yang, Wei Hu, Jason D. Lee, Simon Shaolei Du
Impact of Representation Learning in Linear Bandits. ICLR (2021)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Going Beyond Linear RL: Sample Efficient Neural Function Approximation. CoRR (2021)
Jiaqi Yang
Fully Gap-Dependent Bounds for Multinomial Logit Bandit. AISTATS (2021)
Yufei Ruan, Jiaqi Yang, Yuan Zhou
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design. CoRR (2020)
Jiaqi Yang
Fully Gap-Dependent Bounds for Multinomial Logit Bandit. CoRR (2020)
Jiaqi Yang, Wei Hu, Jason D. Lee, Simon S. Du
Provable Benefits of Representation Learning in Linear Bandits. CoRR (2020)