I am interested in data-efficient and robust machine learning methods. Currently, I mainly focus on the techniques of Active Learning for selecting informative samples, the applications of Bayesian Inference and Distributionally Robust Optimization for enhancing the quality and robustness of ML models.
I am also passionate about deep learning techniques, especially deep generative models like GANs, VAEs, and Normalizing Flows.