Haoming Li

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Bayesian Methods

Inductive Learning

Top Venues

Publications

Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina
Moccasin: Efficient Tensor Rematerialization for Neural Networks. ICML (2023)
Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina
Moccasin: Efficient Tensor Rematerialization for Neural Networks. CoRR (2023)
Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer
Classification with Strategically Withheld Data. AAAI (2021)
Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer
Classification with Strategically Withheld Data. CoRR (2020)
Haoming Li, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia, Chaonan Ye
Minimizing Time-to-Rank: A Learning and Recommendation Approach. IJCAI (2019)
Haoming Li, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia, Chaonan Ye
Minimizing Time-to-Rank: A Learning and Recommendation Approach. CoRR (2019)
Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey O. Kephart, Nicholas Mattei, Hui Su, Lirong Xia
A Cost-Effective Framework for Preference Elicitation and Aggregation. UAI (2018)
Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey O. Kephart, Nicholas Mattei, Hui Su, Lirong Xia
A Cost-Effective Framework for Preference Elicitation and Aggregation. CoRR (2018)