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ORCIDJiaqi Yang 0001
Person information
- affiliation: University of California, Berkeley, CA, USA
- affiliation (former): Tsinghua University, Beijing, China
Other persons with the same name
- Jiaqi Yang (aka: Jia-qi Yang, Jia-Qi Yang) — disambiguation page
- Jiaqi Yang 0002
![[0000-0002-2071-2457]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2071-2457")
— Northwestern Polytechnical University, School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an, China (and 1 more) - Jiaqi Yang 0003 — Northwestern Polytechnical University, School of Computer, Xi'an, China (and 1 more)
- Jiaqi Yang 0004 — Jilin University, School of Mathematics, Changchun, China (and 1 more)
- Jiaqi Yang 0005 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China
- Jiaqi Yang 0006 — Wuhan University, School of Information Management, Wuhan, China
- Jiaqi Yang 0007 — City University of New York, Graduate Center, New York, NY, USA
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2020 – today
- 2022
[i8]Jiaqi Yang, Qi Lei, Jason D. Lee, Simon S. Du:
Nearly Minimax Algorithms for Linear Bandits with Shared Representation. CoRR abs/2203.15664 (2022)- 2021
- [c7]Jiaqi Yang:
Fully Gap-Dependent Bounds for Multinomial Logit Bandit. AISTATS 2021: 199-207 - [c6]Jiaqi Yang, Wei Hu, Jason D. Lee, Simon Shaolei Du:
Impact of Representation Learning in Linear Bandits. ICLR 2021 - [c5]Zihan Zhang, Jiaqi Yang, Xiangyang Ji, Simon S. Du:
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP. NeurIPS 2021: 4342-4355 - [c4]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: 8968-8983 - [c3]Kefan Dong, Jiaqi Yang, Tengyu Ma:
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature. NeurIPS 2021: 26168-26182 - [c2]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. NeurIPS 2021: 29101-29115 - [c1]Yufei Ruan, Jiaqi Yang, Yuan Zhou:
Linear bandits with limited adaptivity and learning distributional optimal design. STOC 2021: 74-87 - [i7]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 abs/2101.12745 (2021) - [i6]Kefan Dong, Jiaqi Yang, Tengyu Ma:
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature. CoRR abs/2102.04168 (2021) - [i5]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 abs/2107.04518 (2021) - [i4]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 abs/2107.06466 (2021) - 2020
- [i3]Yufei Ruan, Jiaqi Yang, Yuan Zhou:
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design. CoRR abs/2007.01980 (2020) - [i2]Jiaqi Yang, Wei Hu, Jason D. Lee, Simon S. Du:
Provable Benefits of Representation Learning in Linear Bandits. CoRR abs/2010.06531 (2020) - [i1]Jiaqi Yang:
Fully Gap-Dependent Bounds for Multinomial Logit Bandit. CoRR abs/2011.09998 (2020)
Coauthor Index
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