Yangyi Lu

According to our database, Yangyi Lu authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, June, 2025

MOMTERL: Modeling Molecular Masking and Contrastive Learning Based on Motifs.

Yifeng Zhu, Jing Peng, Yangyi Lu, Ping Huang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Pre-training Molecular Graph Representations with Motif-Enhanced Message Passing.

Yangyi Lu, Jing Peng, Yifeng Zhu, Zhuang Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

Offline Policy Evaluation and Optimization Under Confounding.

Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Offline Policy Evaluation and Optimization under Confounding.

Kevin Tan, Yangyi Lu, Chinmaya Kausik, Yixin Wang, Ambuj Tewari

CoRR, 2022

Efficient Reinforcement Learning with Prior Causal Knowledge.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Bandit Algorithms for Precision Medicine.

Yangyi Lu, Ziping Xu, Ambuj Tewari

CoRR, 2021

Causal Markov Decision Processes: Learning Good Interventions Efficiently.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

CoRR, 2021

Causal Bandits with Unknown Graph Structure.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Low-Rank Generalized Linear Bandit Problems.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Regret Analysis of Bandit Problems with Causal Background Knowledge.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, William Yan

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Regret Analysis of Causal Bandit Problems.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan

CoRR, 2019