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← Core Methods
Machine Learning
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Core Methods
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Probabilistic Modeling
363 directly classified papers
Papers per year
2003: 5
2006: 9
2007: 10
2008: 7
2009: 10
2010: 9
2011: 15
2012: 31
2013: 28
2014: 17
2015: 8
2016: 16
2017: 11
2018: 23
2019: 24
2020: 30
2021: 27
2022: 14
2023: 14
2024: 37
2025: 18
Papers
Grounded PCFG Induction with Images
AACL 2020
Label Error Correction and Generation through Label Relationships
AAAI 2020
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models
L4DC 2020
Testing Goodness of Fit of Conditional Density Models with Kernels
UAI 2020
Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest
AAAI 2020
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models
UAI 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach
JMLR 2020
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations
PGM 2020
Correlated Equilibria for Approximate Variational Inference in MRFs
PGM 2020
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection
AAAI 2020
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
NIPS 2020
McFlow: Monte Carlo Flow Models for Data Imputation
CVPR 2020
Learning decomposable models by coarsening
PGM 2020
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information
AAAI 2020
Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders
CVPR 2020
Causal Discovery with General Non-Linear Relationships using Non-Linear ICA
UAI 2019
Random Clique Covers for Graphs with Local Density and Global Sparsity
UAI 2019
How to Exploit Structure while Solving Weighted Model Integration Problems
UAI 2019
Minimum Volume Topic Modeling
AISTATS 2019
Countdown Regression: Sharp and Calibrated Survival Predictions
UAI 2019
Topic Modeling with Wasserstein Autoencoders
ACL 2019
Enhancing Unsupervised Generative Dependency Parser with Contextual Information
ACL 2019
Latent Structure Models for Natural Language Processing
ACL 2019
Unsupervised Primitive Discovery for Improved 3D Generative Modeling
CVPR 2019
Learning Vine Copula Models for Synthetic Data Generation
AAAI 2019
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