Colloquium - Causal and counterfactual inference and what they're good for
APA
Lee, C. (2024). Colloquium - Causal and counterfactual inference and what they're good for. Perimeter Institute. https://pirsa.org/24090092
MLA
Lee, Ciarán. Colloquium - Causal and counterfactual inference and what they're good for. Perimeter Institute, Sep. 18, 2024, https://pirsa.org/24090092
BibTex
@misc{ pirsa_PIRSA:24090092, doi = {10.48660/24090092}, url = {https://pirsa.org/24090092}, author = {Lee, Ciar{\'a}n}, keywords = {Quantum Foundations, Quantum Information}, language = {en}, title = {Colloquium - Causal and counterfactual inference and what they{\textquoteright}re good for}, publisher = {Perimeter Institute}, year = {2024}, month = {sep}, note = {PIRSA:24090092 see, \url{https://pirsa.org}} }
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Talk Type
Abstract
Causal reasoning is vital for effective reasoning in many domains, from healthcare to economics. In medical diagnosis, for example, a doctor aims to explain a patient’s symptoms by determining the diseases causing them. This is because causal relations, unlike correlations, allow one to reason about the consequences of possible treatments and to answer counterfactual queries. In this talk I will present some recent work done with my collaborators about how one can learn and reason with counterfactual distributions, and why this is importantly for decision making. In all cases I will strive to motivate and contextualise the results with real word examples.