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06/27/2019
Approximate Causal Abstraction
Scientific models describe natural phenomena at different levels of abst...
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06/06/2019
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions
In recent years the possibility of relaxing the so-called Faithfulness a...
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04/08/2018
Fast Conditional Independence Test for Vector Variables with Large Sample Sizes
We present and evaluate the Fast (conditional) Independence Test (FIT) -...
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11/04/2016
Estimating Causal Direction and Confounding of Two Discrete Variables
We propose a method to classify the causal relationship between two disc...
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05/30/2016
Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data
We show that the climate phenomena of El Nino and La Nina arise naturall...
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02/25/2016
Causal Discovery from Subsampled Time Series Data by Constraint Optimization
This paper focuses on causal structure estimation from time series data ...
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12/25/2015
Multi-Level Cause-Effect Systems
We present a domain-general account of causation that applies to setting...
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12/07/2014
Visual Causal Feature Learning
We provide a rigorous definition of the visual cause of a behavior that ...
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09/26/2013
Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure
We present a very general approach to learning the structure of causal m...
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10/16/2012
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables
Much of scientific data is collected as randomized experiments interveni...
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07/04/2012
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables
We show that if any number of variables are allowed to be simultaneously...
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06/13/2012
Almost Optimal Intervention Sets for Causal Discovery
We conjecture that the worst case number of experiments necessary and su...
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02/14/2012