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

Causal Inference with Non-IID Data using Linear Graphical Models NIPS 2022
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems NIPS 2022
NeuroBE: Escalating neural network approximations of Bucket Elimination UAI 2022
Learning the Structure of Large Networked Systems Obeying Conservation Laws NIPS 2022
Model inclusion lattice of coloured Gaussian graphical models for paired data PGM 2022
AND/OR branch-and-bound for computational protein design optimizing K* UAI 2022
Learning Tractable Probabilistic Models from Inconsistent Local Estimates NIPS 2022
Nonparametric Neighborhood Selection in Graphical Models JMLR 2022
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL 2022
A Complete Criterion for Value of Information in Soluble Influence Diagrams AAAI 2022
Towards Unification of Discourse Annotation Frameworks ACL 2022
Causal Effect Identification with Context-specific Independence Relations of Control Variables AISTATS 2022
Reasoning about Causal Models with Infinitely Many Variables AAAI 2022
Identification of Linear Latent Variable Model with Arbitrary Distribution AAAI 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness AAAI 2022
Two-way Sparse Network Inference for Count Data AISTATS 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs NIPS 2022
Knowledge Distillation via Constrained Variational Inference AAAI 2022
Algorithmic Fairness Verification with Graphical Models AAAI 2022
Active Structure Learning of Bayesian Networks in an Observational Setting JMLR 2022
Highly Efficient Structural Learning of Sparse Staged Trees PGM 2022
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models PGM 2022
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models ICML 2022
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations AISTATS 2022
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks AISTATS 2022