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ORCIDTianyu Wang 0008
Person information
- affiliation: Fudan University, Shanghai, China
- affiliation (PhD 2021): Duke University, Department of Computer Science, Durham, NC, USA
Other persons with the same name
- Tianyu Wang — disambiguation page
- Tianyu Wang 0001
![[0000-0001-9578-5039]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9578-5039")
— Nanjing University, School of Electronic Science and Engineering, China (and 1 more) - Tianyu Wang 0002 — Dalian University of Technology, School of Control Sciences and Engineering, China
- Tianyu Wang 0003 — Chinese University of Hong Kong, Hong Kong (and 1 more)
- Tianyu Wang 0004 — North China Electric Power University, Beijing, China
- Tianyu Wang 0005 — Institut Mines-Télécom Atlantique, LS2N, UMR CNRS, Nantes, France
- Tianyu Wang 0006 — University of Illinois at Urbana-Champaign, Department of Electrical and Computering Engineering, Urbana, IL, USA
- Tianyu Wang 0007 — Shanghai Jiao Tong University, China
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2020 – today
- 2024
[j2]Yasong Feng, Zengfeng Huang, Tianyu Wang:
Lipschitz Bandits With Batched Feedback. IEEE Trans. Inf. Theory 70(3): 2154-2176 (2024)- 2023
- [i8]Yasong Feng, Weijian Luo, Yimin Huang, Tianyu Wang:
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization. CoRR abs/2302.01539 (2023) - [i7]Chuying Han, Yasong Feng, Tianyu Wang:
From Random Search to Bandit Learning in Metric Measure Spaces. CoRR abs/2305.11509 (2023) - 2022
- [c3]Yasong Feng, Zengfeng Huang, Tianyu Wang:
Lipschitz Bandits with Batched Feedback. NeurIPS 2022 - [i6]Yasong Feng, Tianyu Wang:
Stochastic Zeroth Order Gradient and Hessian Estimators: Variance Reduction and Refined Bias Bounds. CoRR abs/2205.14737 (2022) - 2021
- [b1]Tianyu Wang:
New Directions in Bandit Learning: Singularities and Random Walk Feedback. Duke University, Durham, NC, USA, 2021 - [j1]Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. J. Mach. Learn. Res. 22: 31:1-31:41 (2021) - [i5]Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tianyu Wang, Marco Morucci, Pritam Dey, Thomas J. Howell, Xian Sun, Angikar Ghosal, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference. CoRR abs/2101.01867 (2021) - [i4]Yasong Feng, Zengfeng Huang, Tianyu Wang:
Batched Lipschitz Bandits. CoRR abs/2110.09722 (2021) - 2020
- [c2]Tianyu Wang, Weicheng Ye, Dawei Geng, Cynthia Rudin:
Towards Practical Lipschitz Bandits. FODS 2020: 129-138 - [c1]Tianyu Wang, Cynthia Rudin:
Bandits for BMO Functions. ICML 2020: 9996-10006 - [i3]Tianyu Wang, Cynthia Rudin:
Bandits for BMO Functions. CoRR abs/2007.08703 (2020)
2010 – 2019
- 2019
- [i2]Tianyu Wang, Dawei Geng, Cynthia Rudin:
A Practical Bandit Method with Advantages in Neural Network Tuning. CoRR abs/1901.09277 (2019) - 2017
- [i1]Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky, Tianyu Wang:
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. CoRR abs/1707.06315 (2017)
Coauthor Index
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