We consider the estimation of joint causal effects from observational data. In particular, we propose new methods to estimate the effect of multiple simultaneous interventions (e.g., multiple gene ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

He will talk about how health outcomes for newly-trained surgeons' patients compare with those for patients of experienced surgeons. To answer this question using data from Medicare, he will talk ...