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structure learning

341 papers

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SL

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graphical model (863) bayesian network (378) causal discovery (459) directed acyclic graph (242) causal inference (1619) probabilistic modeling (851) probabilistic graphical model (226) gaussian graphical model (106) bayesian inference (1904) markov chain monte carlo (724)

Papers

DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization NIPS 2022
Scalable Bayesian Network Structure Learning with Splines PGM 2022
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning AAAI 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021
PAC Learning of Causal Trees with Latent Variables AAAI 2021
Efficient Bayesian network structure learning via local Markov boundary search NIPS 2021
Diffusion Network Inference from Partial Observations AAAI 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game NIPS 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks NIPS 2021
Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming IJCAI 2021
Learning Shared Subgraphs in Ising Model Pairs AISTATS 2021
Robustifying Algorithms of Learning Latent Trees with Vector Variables NIPS 2021
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models AAAI 2021
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics ICML 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021
The Complexity of Bayesian Network Learning: Revisiting the Superstructure NIPS 2021
Juice: A Julia Package for Logic and Probabilistic Circuits AAAI 2021
Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure NIPS 2021
XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021
Bayesian Structural Adaptation for Continual Learning ICML 2021
Heterogeneous Graph Structure Learning for Graph Neural Networks AAAI 2021
Learning Fast-Inference Bayesian Networks NIPS 2021
On the Parameterized Complexity of Polytree Learning IJCAI 2021
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families NIPS 2021
Structure Learning of Undirected Graphical Models for Count Data JMLR 2021