210 citations · 653 across the 17 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2019
Integrating overlapping datasets using bivariate causal discovery
Anish Dhir, Ciarán M. Lee
Causal knowledge is vital for effective reasoning in science, as causal relations, unlike correlations, allow one to reason about the outcomes of interventions. Algorithms that can…
stat.ML2019★ 3 cited
Counterfactual diagnosis
Jonathan G. Richens, Ciaran M. Lee, Saurabh Johri
Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient's symptoms by determining the diseases \e…
stat.ML2015★ 44 cited
Causal inference via algebraic geometry: feasibility tests for functional causal structures with two binary observed variables
Ciarán M. Lee, Robert W. Spekkens
We provide a scheme for inferring causal relations from uncontrolled statistical data based on tools from computational algebraic geometry, in particular, the computation of Groebn…