Academic Background

Research Interest

Selected Publications

• Dai, B., & Li, C. (2022+). RankSEG: A consistent ranking-based framework for segmentation. arXiv preprint arxiv:2206.13086. [ arXiv + pdf + github ]
• Dai, B., Shen, X., & Pan, W. (2022+). Significance tests of feature relevance for a black-box learner. IEEE Transactions on Neural Networks and Learning Systems, in press. [ slides + arxiv + pdf + github + docs ]
• Dai, B., Shen, X., & Wong, W. (2022+). Coupled generation. Journal of the American Statistical Association, in press. [ html + code ]
• Dai, B., Shen, X., & Wang, J. (2022). Embedding learning. Journal of the American Statistical Association, 117(537), 307-319. [ html + code + github + slides ]
• Dai, B., Shen, X., & Pan, W. (2021). Two-level monotonic multistage recommender systems. Electronic Journal of Statistics, 15(2), 5545-5569. [ slides + html + pdf ]
• Xu, S., Dai, B., & Wang, J. (2021). Sentiment analysis with covariate-assisted word embeddings. Electronic Journal of Statistics, 15(1), 3015-3039. [ html + code ]
• Dai, B., Shen, X., Wang, J., & Qu, A. (2021). Scalable collaborative ranking for personalized prediction. Journal of the American Statistical Association, 116(535), 1215-1223. [ html + code + pdf ]
• Dai, B., Wang, J., Shen, X., & Qu, A. (2019). Smooth neighborhood recommender systems. Journal of Machine Learning Research, 1(24). [ html + pdf ]
• Dai, B., & Wang, J. (2019). Query-dependent ranking and its asymptotic properties. Electronic Journal of Statistics, 13(1), 465-488. [ html ]

Professional Services

• Editorial board reviewers (2020 – Present): Journal of Machine Learning Research
• Program committee: AISTATS-2022 Top Reviewer, IJCAI-2021

Research Grants