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Causal Decision Making and Causal Effect Estimation Are Not the ...


Causal Decision Making and Causal Effect Estimation Are Not the ...

This article highlights an important perspective: CDM is not the same as CEE, and counterintuitively, accurate CEE is not necessary for accurate CDM.

Causal Decision Making and Causal Effect Estimation Are Not the ...

One approach for causal decision making that is be- coming popular in the research literature is to use machine-learned models to estimate ...

Commentary on 'Causal Decision Making and Causal Effect ...

Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters' · Abstract · Keywords · Citation · Privacy Preference ...

Causal Decision Making and Causal Effect Estimation Are Not the ...

Recently, we have seen an acceleration of research related to CDM and causal effect estimation (CEE) using machine-learned models. This article ...

Causal Decision Making and Causal Effect Estimation Are Not

Recently, we have seen an acceleration of research related to CDM and causal effect estimation (CEE) using machine-learned models. This article highlights an ...

Causal Decision Making and Causal Effect Estimation Are Not the ...

In this case, precisely estimating individual-level causal effects is desirable but not necessary; the only concern is identifying those ...

(PDF) Causal Decision Making and Causal Effect Estimation Are Not ...

Abstract and Figures · Author: Causal Decision Making vs. · 4 · toward accurately estimating conditional causal effects (as most are) may be making ...

Commentary on “Causal Decision Making and Causal Effect ...

Edward McFowland III (2022) Commentary on “Causal Decision Making and Causal Effect Estimation Are Not the Same… and. Why It Matters ...

Commentary on “Causal Decision Making and ... - IDEAS/RePEc

Commentary on “Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters”: On Loss Functions and Bias–Variance Tradeoffs in Causal ...

Causal Decision Making and Causal Effect Estimation Are Not the ...

Request PDF | Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters | Causal decision making (CDM) at scale has become a ...

Causal Decision Making and Causal Effect Estimation Are Not the ...

(1) We should consider carefully the objective function of the causal machine learning, and if possible we should optimize for accurate “treatment assignment” ...

Commentary on “Causal Decision Making and Causal Effect ...

Title: Commentary on “Causal Decision Making and Causal Effect Estimation Are Not the Same… and Why It Matters”. Award ID(s):: 2040898. NSF-PAR ...

‪Carlos Fernández-Loría‬ - ‪Google Scholar‬

Causal decision making and causal effect estimation are not the same… and why it matters. C Fernández-Loría, F Provost. INFORMS Journal on Data Science 1 (1), 4 ...

Commentary on “Causal Decision Making and Causal Effect ... - OUCI

Commentary on “Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters”. https://doi.org/10.1287/ijds.2022.0011. Journal ...

How different are causal estimation and decision-making?

Even beyond the huge problems of selection biases, the idea that experimental estimates are unbiased is wrong because treatment effects vary. At ...

Open Science Library - Code Ocean

... causal effect estimation (CEE) using machine-learned models. This article highlights an important perspective: CDM is not the same as CEE, and ...

February 25th Colloquium: Causal Targeting - It's not Causal Effect ...

I highlight something important: targeting for causal effect is not the same as causal effect estimation. In fact, accurate causal effect estimation is not ...

Are causal effect estimations enough for optimal recommendations ...

Abstract:When making treatment selection decisions, it is essential to include a causal effect estimation analysis to compare potential ...

Causal Effect Estimation | causaLens

Despite the usual nomenclature, causal effect estimation isn't limited to medicine – every single decision made in a business setting is a treatment, which ...

Causal Machine Learning and its use for public policy

Causal decision making and causal effect estimation are not the same … and why it matters. INFORMS Journal of Data Science, 1(1), 4–16 ...