Understanding training load as exposure and dose
Various terms used in sport and exercise science, and medicine, are derived from other
fields such as epidemiology, pharmacology and causal inference. Conceptual and …
fields such as epidemiology, pharmacology and causal inference. Conceptual and …
Estimating treatment effects from irregular time series observations with hidden confounders
Causal analysis for time series data, in particular estimating individualized treatment effect
(ITE), is a key task in many real world applications, such as finance, retail, healthcare, etc …
(ITE), is a key task in many real world applications, such as finance, retail, healthcare, etc …
Policy analysis using synthetic controls in continuous-time
A Bellot, M Van Der Schaar - International Conference on …, 2021 - proceedings.mlr.press
Counterfactual estimation using synthetic controls is one of the most successful recent
methodological developments in causal inference. Despite its popularity, the current …
methodological developments in causal inference. Despite its popularity, the current …
Interpretable causal systems: interpretability and causality in machine learning for human and nonhuman decision-making
L Graham - 2020 - ora.ox.ac.uk
In order to integrate machine learning into human decision-making in a useful way, we must
trust machine learning systems enough in our reasoning processes. To evaluate a system's …
trust machine learning systems enough in our reasoning processes. To evaluate a system's …