conftrace_

directed acyclic graph

245 papers

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Also known as

DAG

Co-occurring keywords

causal discovery (460) structure learning (341) graphical model (864) causal inference (1630) bayesian network (378) markov equivalence class (37) graph neural network (3962) structural equation model (77) causal structure learning (63) latent variable (541)

Papers

Direct Estimation of Differences in Causal Graphs NIPS 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning NIPS 2018
Learning linear structural equation models in polynomial time and sample complexity AISTATS 2018
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures IJCAI 2018
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs JMLR 2018
Permutation-based Causal Inference Algorithms with Interventions NIPS 2017
Faithfulness of Probability Distributions and Graphs JMLR 2017
Testing Bayesian Networks COLT 2017
A Transition-Based Directed Acyclic Graph Parser for UCCA ACL 2017
Structure Discovery in Bayesian Networks by Sampling Partial Orders JMLR 2016
Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling JMLR 2016
A Gibbs Sampler for Learning DAGs JMLR 2016
DAG-Recurrent Neural Networks For Scene Labeling CVPR 2016
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NIPS 2015
Exact Bayesian Learning of Ancestor Relations in Bayesian Networks AISTATS 2015
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms NIPS 2015
Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2015
Multi-Scale Recognition With DAG-CNNs ICCV 2015
High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation JMLR 2014
Causal Discovery with Continuous Additive Noise Models JMLR 2014
Random Bayesian networks with bounded indegree AISTATS 2014
Directed Acyclic Graph Kernels for Action Recognition ICCV 2013
Learning Linear Bayesian Networks with Latent Variables ICML 2013
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NIPS 2013
Decision Jungles: Compact and Rich Models for Classification NIPS 2013