3 papers
cs.LG2026
Learning Optimal and Sample-Efficient Decision Policies with Guarantees
Daqian Shao
The paradigm of decision-making has been revolutionised by reinforcement learning and deep learning. Although this has led to significant progress in domains such as robotics, heal…
cs.LG2026
Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding
Daqian Shao, Thomas Kleine Buening, Marta Kwiatkowska
We propose a general framework for causal Imitation Learning (IL) with hidden confounders, which subsumes several existing settings. Our framework accounts for two types of hidden…
stat.ML2025
Double Machine Learning for Conditional Moment Restrictions: IV Regression, Proximal Causal Learning and Beyond
Daqian Shao, Ashkan Soleymani, Francesco Quinzan +1
Solving conditional moment restrictions (CMRs) is a key problem considered in statistics, causal inference, and econometrics, where the aim is to solve for a function of interest t…