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structure learning

341 papers

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SL

Co-occurring keywords

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

On the Expressive Power of Tree-Structured Probabilistic Circuits NIPS 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024
Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024
Dual Likelihood for Causal Inference under Structure Uncertainty CLEAR 2024
Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023
Differentiable and Transportable Structure Learning ICML 2023
Causal Entropy Optimization AISTATS 2023
Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023
Learnability and Algorithm for Continual Learning ICML 2023
Revisiting Bayesian network learning with small vertex cover UAI 2023
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level AAAI 2023
Optimizing NOTEARS Objectives via Topological Swaps ICML 2023
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees NIPS 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks NIPS 2023
Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs ICML 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NIPS 2023
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge AISTATS 2023
Structure Learning with Adaptive Random Neighborhood Informed MCMC NIPS 2023
A Bayesian Take on Gaussian Process Networks NIPS 2023
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023
Causal discovery from observational and interventional data across multiple environments NIPS 2023
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models AAAI 2023
Sequential Monte Carlo Learning for Time Series Structure Discovery ICML 2023
AstroNet: When Astrocyte Meets Artificial Neural Network CVPR 2023