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Causal Discovery

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Likelihood-Free Overcomplete ICA and Applications in Causal Discovery

4 Sep 2019

Causal discovery witnessed significant progress over the past decades.

CAUSAL DISCOVERY

Causal Discovery by Kernel Intrinsic Invariance Measure

2 Sep 2019

We show our algorithm can be reduced to an eigen-decomposition task on a kernel matrix measuring intrinsic deviance/invariance.

CAUSAL DISCOVERY

Causal Discovery with Reinforcement Learning

11 Jun 2019

The reward incorporates both the predefined score function and two penalty terms for enforcing acyclicity.

CAUSAL DISCOVERY COMBINATORIAL OPTIMIZATION

ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions

6 Jun 2019

In recent years the possibility of relaxing the so-called Faithfulness assumption in automated causal discovery has been investigated.

CAUSAL DISCOVERY

Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models

26 May 2019

In many scientific fields, such as economics and neuroscience, we are often faced with nonstationary time series, and concerned with both finding causal relations and forecasting the values of variables of interest, both of which are particularly challenging in such nonstationary environments.

BAYESIAN INFERENCE CAUSAL DISCOVERY TIME SERIES

Neural Causal Discovery with Learnable Input Noise

ICLR 2019

Learning causal relations from observational time series with nonlinear interactions and complex causal structures is a key component of human intelligence, and has a wide range of applications.

CAUSAL DISCOVERY EEG TIME SERIES

Beauty Learning and Counterfactual Inference

24 Apr 2019

This work showcases a new approach for causal discovery by leveraging user experiments and recent advances in photo-realistic image editing, demonstrating a potential of identifying causal factors and understanding complex systems counterfactually.

CAUSAL DISCOVERY COUNTERFACTUAL INFERENCE

Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA

19 Apr 2019

We consider the problem of inferring causal relationships between two or more passively observed variables.

CAUSAL DISCOVERY

Testing Conditional Independence on Discrete Data using Stochastic Complexity

12 Mar 2019

Testing for conditional independence is a core aspect of constraint-based causal discovery.

CAUSAL DISCOVERY

Orthogonal Structure Search for Efficient Causal Discovery from Observational Data

6 Mar 2019

The problem of inferring the direct causal parents of a response variable among a large set of explanatory variables is of high practical importance in many disciplines.

CAUSAL DISCOVERY