Yan Shuo Tan

Department of Statistics and Data Science
National University of Singapore

yanshuo@nus.edu.sg LinkedIn Google Scholar CV

About

I am an Assistant Professor in the Department of Statistics and Data Science at the National University of Singapore, and a Faculty Affiliate with the Institute of Data Science and the NUS AI Institute. My research focuses on theoretical and applied aspects of statistical machine learning and data science, with a particular emphasis on tree-based methods and ensembles, Bayesian tree ensemble modeling, and in-context learning for tabular data.

News

• 2026 paper BFTS: Thompson Sampling with Bayesian Additive Regression Trees — Paper published in ICML.
• 2026 paper Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators — Paper published in AoS.
• 2026 paper Byzantine-Tolerant Distributed Learning of Finite Mixture Models — Paper published in JRSS-B.
• May 2026 award Awarded an NUS Cross Faculty Grant together with Bibhas Chakraborty for our project 'Towards Personalized Healthcare via Bayesian Machine Learning'.
• 2025 paper Fast Interpretable Greedy-Tree Sums — Paper published in PNAS.
• 2025 paper Bayesian Concept Bottleneck Models with LLM Priors — Paper published in NeurIPS.

Selected Publications

• 11
  BFTS: Thompson Sampling with Bayesian Additive Regression Trees Spotlight

  Ruizhe Deng^†, Bibhas Chakraborty^*, Ran Chen^*, and Yan Shuo Tan^*‡

  International Conference on Machine Learning, 2026
• 2
  Byzantine-Tolerant Distributed Learning of Finite Mixture Models

  Qiong Zhang^*, Yan Shuo Tan^*, and Jiahua Chen

  Journal of the Royal Statistical Society, Series B, 2026
• 1
  Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators

  Yan Shuo Tan, Jason M Klusowski, and Krishnakumar Balasubramanian

  Annals of Statistics, 2026
• 12
  Bayesian Concept Bottleneck Models with LLM Priors

  Jean Feng, Avni Kothari, Lucas Zier, Chandan Singh, and Yan Shuo Tan

  Advances in Neural Information Processing Systems, 2025
• 3
  Fast Interpretable Greedy-Tree Sums

  Yan Shuo Tan^*, Chandan Singh^*, Keyan Nasseri^*, Abhineet Agarwal^*, James Duncan, Omer Ronen, Matthew Epland, Aaron Kornblith, and Bin Yu

  Proceedings of the National Academy of Sciences, vol. 122, no. 7, pp. e2310151122, 2025

→ Full publication list