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Yangyi Lu
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2020 – today
- 2024
- [c6]Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari:
Offline Policy Evaluation and Optimization Under Confounding. AISTATS 2024: 1459-1467 - [c5]Yangyi Lu, Jing Peng, Yifeng Zhu, Zhuang Chen:
Pre-training Molecular Graph Representations with Motif-Enhanced Message Passing. IJCNN 2024: 1-8 - 2022
- [c4]Yangyi Lu, Amirhossein Meisami, Ambuj Tewari:
Efficient Reinforcement Learning with Prior Causal Knowledge. CLeaR 2022: 526-541 - [i6]Kevin Tan, Yangyi Lu, Chinmaya Kausik, Yixin Wang, Ambuj Tewari:
Offline Policy Evaluation and Optimization under Confounding. CoRR abs/2211.16583 (2022) - 2021
- [c3]Yangyi Lu, Amirhossein Meisami, Ambuj Tewari:
Low-Rank Generalized Linear Bandit Problems. AISTATS 2021: 460-468 - [c2]Yangyi Lu, Amirhossein Meisami, Ambuj Tewari:
Causal Bandits with Unknown Graph Structure. NeurIPS 2021: 24817-24828 - [i5]Yangyi Lu, Amirhossein Meisami, Ambuj Tewari:
Causal Markov Decision Processes: Learning Good Interventions Efficiently. CoRR abs/2102.07663 (2021) - [i4]Yangyi Lu, Amirhossein Meisami, Ambuj Tewari:
Causal Bandits with Unknown Graph Structure. CoRR abs/2106.02988 (2021) - [i3]Yangyi Lu, Ziping Xu, Ambuj Tewari:
Bandit Algorithms for Precision Medicine. CoRR abs/2108.04782 (2021) - 2020
- [c1]Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, William Yan:
Regret Analysis of Bandit Problems with Causal Background Knowledge. UAI 2020: 141-150 - [i2]Yangyi Lu, Amirhossein Meisami, Ambuj Tewari:
Low-Rank Generalized Linear Bandit Problems. CoRR abs/2006.02948 (2020)
2010 – 2019
- 2019
- [i1]Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan:
Regret Analysis of Causal Bandit Problems. CoRR abs/1910.04938 (2019)
Coauthor Index
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