Daniel R. Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
2
Active years
2018–2023
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | KDD | 2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. | Chu Wang, Yingfei Wang, Haipeng Luo, Daniel R. Jiang, Jinghai He, Zeyu Zheng |
| 2022 | KDD | Interpretable Personalized Experimentation. | Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel R. Jiang, Eytan Bakshy |
| 2021 | KDD | Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. | Daniel R. Jiang, Haipeng Luo, Chu Wang, Yingfei Wang |
| 2020 | ICML | Lookahead-Bounded Q-learning. | Ibrahim El Shar, Daniel R. Jiang |
| 2018 | ICML | Feedback-Based Tree Search for Reinforcement Learning. | Daniel R. Jiang, Emmanuel Ekwedike, Han Liu |