Research Interest

• Topic models

• Bayesian inference and theory

• Scalable algorithms

• Spatio-temporal data

• Bayesian nonparametrics

• Bandits

• Differential privacy

Publications and Preprints

1. Sunrit Chakraborty, Rayleigh Lei, XuanLong Nguyen (2024) Learning Topic Hierarchies by Tree-Directed Latent Variable Models (under review)

2. Sunrit Chakraborty, Saptarshi Roy, Debabrota Basu (2024). FLIPHAT: Joint Differential Privacy for High-Dimensional Sparse Linear Bandits (under review)

3. Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen (2023). Scalable nonparametric Bayesian learning for dynamic velocity fields (Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence)

4. Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari (2022). Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits (Proceedings of the 40th International Conference on Machine Learning)