Regret Analysis of Causal Bandit Problems. - Yangyi Lu; Amirhossein Meisami; Ambuj Tewari; Zhenyu Yan 001 (CoRR, 2019)

Regret Analysis of Bandit Problems with Causal Background Knowledge. - Yangyi Lu; Amirhossein Meisami; Ambuj Tewari; William Yan (UAI, 2020)

Low-Rank Generalized Linear Bandit Problems. - Yangyi Lu; Amirhossein Meisami; Ambuj Tewari (AISTATS, 2021)

Causal Bandits with Unknown Graph Structure. - Yangyi Lu; Amirhossein Meisami; Ambuj Tewari (NeurIPS, 2021)

Causal Markov Decision Processes: Learning Good Interventions Efficiently. - Yangyi Lu; Amirhossein Meisami; Ambuj Tewari (CoRR, 2021)

Bandit Algorithms for Precision Medicine. - Yangyi Lu; Ziping Xu; Ambuj Tewari (CoRR, 2021)

Efficient Reinforcement Learning with Prior Causal Knowledge. - Yangyi Lu; Amirhossein Meisami; Ambuj Tewari (CLeaR, 2022)

Offline Policy Evaluation and Optimization under Confounding. - Kevin Tan; Yangyi Lu; Chinmaya Kausik; Yixin Wang; Ambuj Tewari (CoRR, 2022)

Offline Policy Evaluation and Optimization Under Confounding. - Chinmaya Kausik; Yangyi Lu; Kevin Tan; Maggie Makar; Yixin Wang; Ambuj Tewari (AISTATS, 2024)

Pre-training Molecular Graph Representations with Motif-Enhanced Message Passing. - Yangyi Lu; Jing Peng; Yifeng Zhu; Zhuang Chen (IJCNN, 2024)

MOMTERL: Modeling Molecular Masking and Contrastive Learning Based on Motifs. - Yifeng Zhu; Jing Peng; Yangyi Lu; Ping Huang (ICIC (26), 2025)

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation. - Xue Xia; Saurabh Vishwas Joshi; Kousik Rajesh; Kangnan Li; Yangyi Lu; Nikil Pancha; Dhruvil Deven Badani; Jiajing Xu; Pong Eksombatchai (CoRR, 2025)