李昌(Chang Li)

Li 

Cheers! I'm a third year PhD student in ILPS, University of Amsterdam, UvA, supervised by Prof. Dr. Maarten de Rijke. I focus on online learning to rank, particularly on Multi-Armed Bandits. Before joining in ILPS, I received my bachelor degree from TJU in 2013. My mentor was Dr. Xin Wang. Then I received my master degree from USTC, supervised by Prof. Dr. Huanhuan Chen in 2016. You may find more about me in my CV.

Email: c.li AT uva DOT nl

Publications and Preprints

  • Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvari and Masrour Zoghi. “BubbleRank: Safe Online Learning to Rerank”. (Preprints)

  • Chang Li, Artem Grotov, Bryan Eikema, Ilya Markov, and Maarten de Rijke. Online learning to rank with list-level feedback for image filtering. (Preprints)

  • Chang Li, Ilya Markov, Maarten de Rijke and Masrour Zoghi. “MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation”. (Preprints)

  • Chang Li and Maarten de Rijke. “Incremental Sparse Bayesian Ordinal Regression”, Neural Networks, Volume 106, October 2018, Pages 294-302. (Link, PDF, Code)

  • Bingbing Jiang, Chang Li, Maarten de Rijke, Xin Yao and Huanhuan Chen. “Probabilistic feature selection and classification vector machine”, ACM Transactions on Knowledge Discovery from Data, 2018. Accepted subject to minor revisions. (Preprints)

  • Chang Li and Huanhuan Chen. “Sparse Bayesian approach for feature selection”, IEEE Symposium on Computational Intelligence in Big Data (CIBD), IEEE Symposium Series on Computational Intelligence (SSCI), 2014. (Link, Slides, Code)

Presentations

  • “MergeDTS for Large Scale Condorcet Dueling Bandits”, the 4th annual Machine Learning in the Real World Workshop, at Criteo Paris, France, June 2018. (Slides)

  • “Large Scale Pair-wise Online Ranker Evaluation with Double Thompson Sampling”, Russian Summer School in Information Retrieval, Ekaterinburg, Russia, August 2017.

  • “Sparse Bayesian Learning”, Anhui Conference on Artificial Intelligence, Hefei, Anhui, July 2014. (in Chinese)