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Causal Discovery

17 papers with code · Knowledge Base

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Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation

4 Jun 2019TURuibo/Neuropathic-Pain-Diagnosis-Simulator

We develop a neuropathic pain simulator, inspired by the fact that the biological processes of neuropathic pathophysiology are well studied with well-understood causal influences.

CAUSAL DISCOVERY

0
04 Jun 2019

Causal Discovery with Cascade Nonlinear Additive Noise Models

23 May 2019DMIRLAB-Group/CANM

In this work, we propose a cascade nonlinear additive noise model to represent such causal influences--each direct causal relation follows the nonlinear additive noise model but we observe only the initial cause and final effect.

CAUSAL DISCOVERY

2
23 May 2019

Causal Discovery Toolbox: Uncover causal relationships in Python

6 Mar 2019Diviyan-Kalainathan/CausalDiscoveryToolbox

This paper presents a new open source Python framework for causal discovery from observational data and domain background knowledge, aimed at causal graph and causal mechanism modeling.

CAUSAL DISCOVERY

131
06 Mar 2019

Testing Conditional Independence in Supervised Learning Algorithms

28 Jan 2019dswatson/cpi

We propose a general test of conditional independence.

CAUSAL DISCOVERY MODEL SELECTION

2
28 Jan 2019

Causal Discovery with Attention-Based Convolutional Neural Networks

Machine Learning and Knowledge Extraction 2019 M-Nauta/TCDF

We therefore present the Temporal Causal Discovery Framework (TCDF), a deep learning framework that learns a causal graph structure by discovering causal relationships in observational time series data.

CAUSAL DISCOVERY DECISION MAKING TIME SERIES

54
07 Jan 2019

Algebraic Equivalence of Linear Structural Equation Models

10 Jul 2018caus-am/aelsem

Despite their popularity, many questions about the algebraic constraints imposed by linear structural equation models remain open problems.

CAUSAL DISCOVERY MODEL SELECTION

4
10 Jul 2018

Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders

9 Jul 2018caus-am/sigmasep

We address the problem of causal discovery from data, making use of the recently proposed causal modeling framework of modular structural causal models (mSCM) to handle cycles, latent confounders and non-linearities.

CAUSAL DISCOVERY

4
09 Jul 2018

A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias

5 May 2018ericstrobl/CCI

Causal processes in nature may contain cycles, and real datasets may violate causal sufficiency as well as contain selection bias.

CAUSAL DISCOVERY CAUSAL INFERENCE

2
05 May 2018

Structural Agnostic Modeling: Adversarial Learning of Causal Graphs

13 Mar 2018Diviyan-Kalainathan/SAM

A new causal discovery method, Structural Agnostic Modeling (SAM), is presented in this paper.

CAUSAL DISCOVERY

18
13 Mar 2018

Nonparametric Quantile-Based Causal Discovery

31 Jan 2018tagas/qccd

Distinguishing cause from effect using observational data is a challenging problem, especially in the bivariate case.

CAUSAL DISCOVERY

1
31 Jan 2018