Design and analysis of the causation and prediction challenge (original) (raw)

Evaluation Methods and Measures for Causal Learning Algorithms

Paras Sheth

IEEE Transactions on Artificial Intelligence, 2022

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Causal Machine Learning: A Survey and Open Problems

Aengus Lynch

2022

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The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data

Amanda Gentzel

2019

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Causal machine learning for healthcare and precision medicine

Pedro Mata Sanchez

Royal Society Open Science

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Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey

Debo Cheng

arXiv (Cornell University), 2022

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An introduction to causal reasoning in health analytics

Ramin Ramezani

2021

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Development Projects for the Causality Workbench

Jean-Philippe Pellet

2000

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The Randomized Causation Coefficient

Krikamol Muandet

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Causation Prediction & Search 2e

Richard Scheines

2000

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Causal inference and counterfactual prediction in machine learning for actionable healthcare

Iain Buchan

Nature Machine Intelligence, 2020

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Machine Learning for causal Inference on Observational Data

Hernán E Borré

2018

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Using Artificial Intelligence to Aid in the Development of Causal Models

Richard Scheines

1990

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Predicting causality ascriptions from background knowledge: model and experimental validation

Jean-François Bonnefon, Henri Prade

International Journal of Approximate Reasoning, 2008

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Introduction to Causal Inference

Peter Spirtes

Journal of Machine Learning Research

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Regression Can Build Predictive Causal Models

Robert St. Amant

1998

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Evaluating Causal Inference Methods

Harsh Parikh

2022

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Incorporating expert elicited structural information in the CaMML causal discovery program

Ann Nicholson

2006

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When causality matters for prediction: investigating the practical tradeoffs

Peter Spirtes

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A Qualitative Approach to Causal Modeling

Peter Spirtes

Advances in Simulation, 1991

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Causal Inference in medicine and in health policy, a summary

Ramin Ramezani

2021

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Causal reasoning in medicine: Analysis of a protocol

Benjamin Kuipers

1984

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Tutorial For Causal Inference" - Chapter 20 of Handbook of Big Data

Mark Van Der Laan

2016

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Causal Reasoning through Intervention

York Hagmayer

2000

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Comment: Causal Inference Competitions: Where Should We Aim?

Tal El-Hay

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Causality in the Sciences

Jon Williamson

Oxford University Press Oxford, 2011

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Discovering Causal Knowledge by Design

David Jensen

2010

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Prediction and causal inference

Luigi Gagliardi

Acta Paediatrica, 2009

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Estimating causal effects

Gregory Maldonado

International Journal of Epidemiology, 2002

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Causal Inference Perspectives

Fabrizia Mealli

Observational Studies

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Recent Developments in Causal Inference and Machine Learning

Jennie E Brand

Annual Review of Sociology

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Causal Artificial Intelligence for High-Stakes Decisions: The Design and Development of a Causal Machine Learning Model

Mallika Kliangkhlao

IEEE Access, 2022

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Sada: A general framework to support robust causation discovery

Zhenjie Zhang

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Causation, prediction, and search

Peter Spirtes

1993

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