Causal inference

Causal Diagrams for Epidemiologic Research

Sander Greenland, Judea Pearl, James M. Robins

Citations: 3663 • 1999

Ten-Year Cross-Disciplinary Comparison of the Growth of Open Access and How it Increases Research Citation Impact

Chawki Hajjem, Stevan Harnad, Yves Gingras

Citations: 356 • 2006

Visual Causal Feature Learning

Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt

Citations: 48 • 2014

Directed acyclic graphs (DAGs): an aid to assess confounding in dental research

Anwar T. Merchant, Waranuch Pitiphat

Citations: 48 • 2002

Fuzzy Causal Patterns of Humor and Jokes for Cognitive and Affective Computing

Yingxu Wang

Citations: 23 • 2014

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

Amanda Gentzel, Dan Garant, David Jensen

Citations: 19 • 2019

Feedback in Imitation Learning: The Three Regimes of Covariate Shift

Jonathan Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell

Citations: 17 • 2021

Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes

Liangyuan Hu, Chenyang Gu

Citations: 16 • 2021

Simón C. Smith, Subramanian Ramamoorthy

Citations: 15 • 2020

The Bayesian causal inference model benefits from an informed prior to predict proprioceptive drift in the rubber foot illusion

Tim Schürmann, Joachim Vogt, Oliver Christ, Philipp Beckerle

Citations: 15 • 2019

Can Robots Do Epidemiology? Machine Learning, Causal Inference, and Predicting the Outcomes of Public Health Interventions

Alex Broadbent, Thomas Grote

Citations: 11 • 2022

Sequences of mechanisms for causal reasoning in artificial intelligence

Denver Dash, Mark Voortman, Martijn de Jongh

Citations: 10 • 2013

Computation and Causation

Richard Scheines

Citations: 10 • 2002

Intervention Design for Effective Sim2Real Transfer

Melissa Mozifian, Amy Zhang, Joëlle Pineau, David Meger

Citations: 8 • 2020

Deep causal learning for robotic intelligence

Yangming Li

Citations: 7 • 2023

Human-Centered AI using Ethical Causality and Learning Representation for Multi-Agent Deep Reinforcement Learning

Joshua W. K. Ho, Chien‐Min Wang

Citations: 7 • 2021

Human Trajectory Prediction via Counterfactual Analysis

Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou

Citations: 6 • 2021

Causal-HRI: Causal Learning for Human-Robot Interaction

Jiaee Cheong, Nikhil Churamani, Luke Guerdan, Tabitha Edith Lee, Han Zhao, Hatice Güneş

Citations: 4 • 2024

Reliable counterparts

Richard Somers, Andrew G. Clark, Neil Walkinshaw, Robert M. Hierons

Citations: 4 • 2022

Causal Inference for De-biasing Motion Estimation from Robotic Observational Data

Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu

Citations: 3 • 2023