Probabilistic Feature Selection and Classification Vector Machine. - Chang Li 003; Huanhuan Chen; Xin Yao 001 (CoRR, 2016)

BubbleRank: Safe Online Learning to Rerank. - Branislav Kveton; Chang Li 003; Tor Lattimore; Ilya Markov; Maarten de Rijke; Csaba Szepesvári; Masrour Zoghi (CoRR, 2018)

Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation. - Chang Li 003; Ilya Markov; Maarten de Rijke; Masrour Zoghi (CoRR, 2018)

Online Learning to Rank with List-level Feedback for Image Filtering. - Chang Li 003; Artem Grotov; Ilya Markov; Bryan Eikema; Maarten de Rijke (CoRR, 2018)

Incremental sparse Bayesian ordinal regression. - Chang Li 003; Maarten de Rijke (Neural Networks, 2018)

Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model. - Chang Li 003; Maarten de Rijke (IJCAI, 2019)

BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. - Chang Li 003; Branislav Kveton; Tor Lattimore; Ilya Markov; Maarten de Rijke; Csaba Szepesvári; Masrour Zoghi (UAI, 2019)

A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity. - Chang Li 003; Haoyun Feng; Maarten de Rijke (CoRR, 2019)

Probabilistic Feature Selection and Classification Vector Machine. - Bingbing Jiang 001; Chang Li 003; Maarten de Rijke; Xin Yao 001; Huanhuan Chen (ACM Trans. Knowl. Discov. Data, 2019)

Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity. - Chang Li 003; Haoyun Feng; Maarten de Rijke (RecSys, 2020)

MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation. - Chang Li 003; Ilya Markov; Maarten de Rijke; Masrour Zoghi (ACM Trans. Inf. Syst., 2020)