Recent Publications

• Wang, Z., & Dai, B. (2025). RankSEG-RMA: An efficient segmentation algorithm via reciprocal moment approximation. The Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS).
• Dai, B. (2025). EnsLoss: Stochastic calibrated loss ensembles for preventing overfitting in classification. Proceedings of the Forty-Second International Conference on Machine Learning (ICML).
• Gao, Y., & Dai, B. (2025). Word-level maximum mean discrepancy regularization for word embedding. Journal of the American Statistical Association (JASA).
• Dai, B., & Li, C., Xue, H., Pan, W., & Shen, X. (2024). Inference of nonlinear causal effects with application to TWAS with GWAS summary data. Proceedings of the Third Conference on Causal Learning and Reasoning (CLeaR).
• Dai, B., & Qiu, Y. (2023). ReHLine: Regularized composite ReLU-ReHU loss minimization with linear computation and linear convergence. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS).
• Dai, B., & Li, C. (2023). RankSEG: A consistent ranking-based framework for segmentation. Journal of Machine Learning Research (JMLR).

Professional Services

• Associate Editor, Statistics and Computing (2024 – present)
• Associate Editor, Journal of Statistical Theory and Practice (2023 – present)
• Associate Editor, ACM Transactions on Probabilistic Machine Learning (2023 – present)
• Editorial Board Reviewer, Journal of Machine Learning Research (2020 – present)

Research Grants