Graphical Models

A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models UAI 2026 A Stronger Calculus of Intervention for Max-Linear Bayesian Networks UAI 2026 Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs UAI 2026 Causal Reasoning with Bipartite Graphical Causal Models UAI 2026 Composite Graphical Causal Models for Inference on Heterogeneous-Indexed Data CLeaR 2026 Don’t Test What You Can Deduce: Causal Discovery with Logical Inference UAI 2026 Fast Markov Random Field Optimisation for Topologically Noisy 3D Shape Matching CVPR 2026 FunFact: Building Probabilistic Functional 3D Scene Graphs via Factor-Graph Reasoning CVPR 2026 Gaussian Graphical Learning via PSD Constraint for Blockwise Missing Multimodal Data UAI 2026 High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption UAI 2026 Hyperbolic Belief Propagation UAI 2026 Learning general conditional independence structures via the neighbourhood lattice JMLR 2026 Learning Ising Models from Evolutions (Extended Abstract) COLT 2026 Robust estimation of graphical models with measurement error: False discovery control and sensitivity analysis UAI 2026 $σ$-Maximal Ancestral Graphs UAI 2025 A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence AISTATS 2025 Beyond cognacy ACL 2025 Bridging Class Imbalance and Partial Labeling via Spectral-Balanced Energy Propagation for Skeleton-based Action Recognition ICCV 2025 Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles UAI 2025 Causal Discovery on Dependent Binary Data AISTATS 2025 Causal Models for Growing Networks UAI 2025 Community-Aware Variational Autoencoder for Continuous Dynamic Networks AAAI 2025 Construction of NER Model in Ancient Chinese: Solution of EvaHan 2025 Challenge NAACL 2025 Covariance Selection over Networks AISTATS 2025 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025