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

Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis AAAI 2026

PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure AAAI 2026

DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning AAAI 2026

GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven CVPR 2025

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning ACL 2025

An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models JMLR 2025

Learning Local Neighborhoods of Non-Gaussian Graphical Models AAAI 2025

RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation ICCV 2025

TSTAI: A Time-varying Brain Effective Connectivity Network Construction Method Combining with Brain Active Information IJCAI 2025

Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024

Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024

Optimal estimation of Gaussian (poly)trees AISTATS 2024

Functional Directed Acyclic Graphs JMLR 2024

QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NIPS 2024

Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024

Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024

Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters AAAI 2024

Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference IJCAI 2024

Contextual Directed Acyclic Graphs AISTATS 2024

On the Expressive Power of Tree-Structured Probabilistic Circuits NIPS 2024

DAG-Informed Structure Learning from Multi-Dimensional Point Processes JMLR 2024

Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024

Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024

Faithful graphical representations of local independence AISTATS 2024

Structural perspective on constraint-based learning of Markov networks AISTATS 2024