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PGM

ML/AI Core

220 papers · 2016–2024

PGM (International Conference on Probabilistic Graphical Models) covers probabilistic graphical models and their theory, algorithms, and applications.

Papers per year

47

46

58

37

32

'20

Top authors

Concha Bielza 9 papers

Pedro Larrañaga 9 papers

Anders L. Madsen 7 papers

Jhonatan S. Oliveira 6 papers

Alessandro Antonucci 6 papers

James Cussens 6 papers

Marco Scutari 6 papers

Rafael Cabañas 6 papers

Arthur Choi 5 papers

Cory J. Butz 5 papers

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their counts at this venue are combined. How identity is handled.

Newest papers

Cauchy Graphical Models 2024

Serving MPE Queries on Tensor Networks by Computing Derivatives 2024

Estimating Bounds on Causal Effects Considering Unmeasured Common Causes 2024

Time–Approximation Trade-Offs for Learning Bayesian Networks 2024

Uncovering Relationships using Bayesian Networks: A Case Study on Conspiracy Theories 2024

$Ψ$net: Efficient Causal Modeling at Scale 2024

Exploring Argument Mining and Bayesian Networks for Assessing Topics for City Project Proposals 2024

An Adaptive Implicit Hitting Set Algorithm for MAP and MPE Inference 2024

Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms 2024

Enhancing Bayesian Networks with Psychometric Models 2024

Causal Structure Learning With Momentum: Sampling Distributions Over Markov Equivalence Classes 2024

Balancing Computational Cost and Accuracy in Inference of Continuous Bayesian Networks 2024

A Divide and Conquer Approach for Solving Structural Causal Models 2024

Geometric No-U-Turn Samplers: Concepts and Evaluation 2024

Learning Causal Markov Boundaries with Mixed Observational and Experimental Data 2024

Q-conjugate Message Passing for Efficient Bayesian Inference 2024

Soft Learning Probabilistic Circuits 2024

Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models 2024

Learning Staged Trees from Incomplete Data 2024

Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity 2024

All PGM 2024 papers →