Chang  Li (李昌)
Chang Li (李昌)
Verified email at - Homepage
Cited by
Cited by
Probabilistic Feature Selection and Classification Vector Machine
B Jiang, C Li, H Chen, X Yao, M de Rijke
ACM Transactions on Knowledge Discovery from Data 13 (2), Article 21, 2019
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback
C Li, B Kveton, T Lattimore, I Markov, M de Rijke, C Szepesvári, M Zoghi
UAI 2019: Conference on Uncertainty in Artificial Intelligence, 2019
Cascading hybrid bandits: Online learning to rank for relevance and diversity
C Li, H Feng, M Rijke
Proceedings of the 14th ACM Conference on Recommender Systems, 33-42, 2020
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model
C Li, M de Rijke
IJCAI 2019: Twenty-Eighth International Joint Conference on Artificial …, 2019
MergeDTS: A method for effective large-scale online ranker evaluation
C Li, I Markov, MD Rijke, M Zoghi
ACM Transactions on Information Systems (TOIS) 38 (4), 1-28, 2020
Incremental sparse Bayesian ordinal regression
C Li, M de Rijke
Neural Networks 106, 294-302, 2018
Sparse Bayesian approach for feature selection
C Li, H Chen
2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), 1-7, 2014
Federated unbiased learning to rank
C Li, H Ouyang
arXiv preprint arXiv:2105.04761, 2021
Online learning to rank with list-level feedback for image filtering
C Li, A Grotov, I Markov, M de Rijke
arXiv preprint arXiv:1812.04910, 2018
Optimizing ranking systems online as bandits
C Li
arXiv preprint arXiv:2110.05807, 2021
The system can't perform the operation now. Try again later.
Articles 1–10