causal discovery

459 papers

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Also known as

CD

Co-occurring keywords

causal inference (1619) graphical model (863) directed acyclic graph (242) causal graph (137) structure learning (341) causal structure (87) structural equation model (77) latent variable (541) causal structure learning (63) time series (434)

Papers

Learning Optimal Causal Graphs with Exact Search PGM 2018

Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models NIPS 2018

Intervals of Causal Effects for Learning Causal Graphical Models PGM 2018

A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018

Multi-domain Causal Structure Learning in Linear Systems NIPS 2018

Causal Inference via Kernel Deviance Measures NIPS 2018

Causal Discovery from Discrete Data using Hidden Compact Representation NIPS 2018

Learning Plannable Representations with Causal InfoGAN NIPS 2018

Mixed Causal Structure Discovery with Application to Prescriptive Pricing IJCAI 2018

Causal Structure Learning via Temporal Markov Networks PGM 2018

Experimental Design for Learning Causal Graphs with Latent Variables NIPS 2017

Random projection design for scalable implicit smoothing of randomly observed stochastic processes AISTATS 2017

Discovering Causal Signals in Images CVPR 2017

Cost-Optimal Learning of Causal Graphs ICML 2017

Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination IJCAI 2017

A Core-Guided Approach to Learning Optimal Causal Graphs IJCAI 2017

Learning Causal Structures Using Regression Invariance NIPS 2017

Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions JMLR 2017

Permutation-based Causal Inference Algorithms with Interventions NIPS 2017

Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks JMLR 2016

Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview JMLR 2016

Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation JMLR 2016

A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016

Learning Bayesian networks with ancestral constraints NIPS 2016

Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016