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

Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs UAI 2023
Exploiting Inferential Structure in Neural Processes UAI 2023
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 2023
Vector Causal Inference between Two Groups of Variables AAAI 2023
Establishing Markov equivalence in cyclic directed graphs UAI 2023
Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata IJCAI 2023
On Testability and Goodness of Fit Tests in Missing Data Models UAI 2023
Computing Divergences between Discrete Decomposable Models AAAI 2023
Global Optimality in Bivariate Gradient-based DAG Learning NIPS 2023
Context-Specific Causal Discovery for Categorical Data Using Staged Trees AISTATS 2023
Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs AAAI 2023
Learning Relational Causal Models with Cycles through Relational Acyclification AAAI 2023
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions NIPS 2023
Causal Effect Identification in Cluster DAGs AAAI 2023
Automatically marginalized MCMC in probabilistic programming ICML 2023
Regularized Joint Mixture Models JMLR 2023
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models AAAI 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
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge NIPS 2023
NeuroBE: Escalating neural network approximations of Bucket Elimination UAI 2022
Structure Learning for Directed Trees JMLR 2022
AND/OR branch-and-bound for computational protein design optimizing K* UAI 2022
Recovering shared structure from multiple networks with unknown edge distributions JMLR 2022
Causal discovery under a confounder blanket UAI 2022