conftrace_

graphical model

864 papers

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Also known as

GM

Co-occurring keywords

structure learning (341) causal inference (1630) bayesian network (378) causal discovery (460) probabilistic inference (312) belief propagation (177) approximate inference (253) probabilistic modeling (852) bayesian inference (1907) markov random field (303)

Papers

On the Rejection Criterion for Proxy-based Test-time Alignment ACL 2026
Temporal Properties of Conditional Independence in Dynamic Bayesian Networks AAAI 2026
Spatio-Temporal Hierarchical Causal Models AAAI 2026
Extremal graphical modeling with latent variables via convex optimization JMLR 2025
Learning Local Neighborhoods of Non-Gaussian Graphical Models AAAI 2025
Recursive Causal Discovery JMLR 2025
DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning JMLR 2025
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025
Kinodynamic Trajectory Following with STELA: Simultaneous Trajectory Estimation & Local Adaptation RSS 2025
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data JMLR 2025
Learnability of Parameter-Bounded Bayes Nets AAAI 2025
Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024
Faithful graphical representations of local independence AISTATS 2024
Self-Compatibility: Evaluating Causal Discovery without Ground Truth AISTATS 2024
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NIPS 2024
A/B testing under Interference with Partial Network Information AISTATS 2024
Interventional Causal Discovery in a Mixture of DAGs NIPS 2024
Sparse Graphical Linear Dynamical Systems JMLR 2024
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data AISTATS 2024
Causal Effect Identification in a Sub-Population with Latent Variables NIPS 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024
Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024
Functional Directed Acyclic Graphs JMLR 2024
Fairness-Aware Estimation of Graphical Models NIPS 2024