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Methodology
← Core Methods
Machine Learning
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Core Methods
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Graphical Models
933 directly classified papers
Papers per year
2002: 1
2005: 1
2006: 30
2007: 24
2008: 21
2009: 28
2010: 32
2011: 37
2012: 75
2013: 79
2014: 55
2015: 42
2016: 52
2017: 34
2018: 67
2019: 52
2020: 89
2021: 41
2022: 49
2023: 40
2024: 60
2025: 24
Papers
On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size
JMLR 2019
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks
JMLR 2019
A Kernel Multiple Change-point Algorithm via Model Selection
JMLR 2019
Community Focusing: Yet Another Query-Dependent Community Detection
AAAI 2019
Forward-Backward Selection with Early Dropping
JMLR 2019
Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions
JMLR 2019
Exact Sampling of Directed Acyclic Graphs from Modular Distributions
UAI 2019
High-Dimensional Poisson Structural Equation Model Learning via $\ell_1$-Regularized Regression
JMLR 2019
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph
CVPR 2019
Guaranteed Scalable Learning of Latent Tree Models
UAI 2019
Bottleneck Potentials in Markov Random Fields
ICCV 2019
Weakly Supervised Energy-Based Learning for Action Segmentation
ICCV 2019
Finding Minimal d-separators in Linear Time and Applications
UAI 2019
Belief Propagation: Accurate Marginals or Accurate Partition Function – Where is the Difference?
UAI 2019
Approximate Inference in Structured Instances with Noisy Categorical Observations
UAI 2019
Towards Gene Function Prediction via Multi-Networks Representation Learning
AAAI 2019
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models
JMLR 2019
Identifying Android Malware Using Network-Based Approaches
AAAI 2019
Efficient Search-Based Weighted Model Integration
UAI 2019
Incorporating Network Embedding into Markov Random Field for Better Community Detection
AAAI 2019
Random Walk Decay Centrality
AAAI 2019
One-Shot Marginal MAP Inference in Markov Random Fields
UAI 2019
A Hybrid Approach to Acoustic Scene Classification Based on Universal Acoustic Models
INTERSPEECH 2019
A recurrent Markov state-space generative model for sequences
AISTATS 2019
Size of Interventional Markov Equivalence Classes in random DAG models
AISTATS 2019
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