Chang Li

According to our database, Chang Li authored at least 11 papers between 2016 and 2020.

Collaborative distances:

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

2020

MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation.

Chang Li, Ilya Markov, Maarten de Rijke, Masrour Zoghi

ACM Trans. Inf. Syst., 2020

Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity.

Chang Li, Haoyun Feng, Maarten de Rijke

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Probabilistic Feature Selection and Classification Vector Machine.

Bingbing Jiang, Chang Li, Maarten de Rijke, Xin Yao, Huanhuan Chen

ACM Trans. Knowl. Discov. Data, 2019

A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity.

Chang Li, Haoyun Feng, Maarten de Rijke

CoRR, 2019

BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback.

Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model.

Chang Li, Maarten de Rijke

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Incremental sparse Bayesian ordinal regression.

Chang Li, Maarten de Rijke

Neural Networks, 2018

Online Learning to Rank with List-level Feedback for Image Filtering.

Chang Li, Artem Grotov, Ilya Markov, Bryan Eikema, Maarten de Rijke

CoRR, 2018

Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation.

Chang Li, Ilya Markov, Maarten de Rijke, Masrour Zoghi

CoRR, 2018

BubbleRank: Safe Online Learning to Rerank.

Branislav Kveton, Chang Li, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi

CoRR, 2018

2016

Probabilistic Feature Selection and Classification Vector Machine.

Chang Li, Huanhuan Chen, Xin Yao

CoRR, 2016