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Methodology
← Bayesian & Probabilistic
Machine Learning
›
Bayesian & Probabilistic
›
Probabilistic Modeling
1884 directly classified papers
Papers per year
2002: 1
2003: 6
2004: 3
2005: 5
2006: 49
2007: 50
2008: 36
2009: 45
2010: 77
2011: 48
2012: 101
2013: 122
2014: 107
2015: 46
2016: 91
2017: 93
2018: 125
2019: 127
2020: 182
2021: 113
2022: 136
2023: 105
2024: 145
2025: 70
2026: 1
Papers
Towards Hardware-Aware Tractable Learning of Probabilistic Models
NIPS 2019
Word Embedding as Maximum A Posteriori Estimation
AAAI 2019
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data
AAAI 2019
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
CVPR 2019
Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling
AAAI 2019
Traffic Updates: Saying a Lot While Revealing a Little
AAAI 2019
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation
CVPR 2019
Variational Inference of Penalized Regression with Submodular Functions
UAI 2019
Lifted Hinge-Loss Markov Random Fields
AAAI 2019
Latent Dirichlet Allocation for Internet Price War
AAAI 2019
Tensorial Change Analysis Using Probabilistic Tensor Regression
AAAI 2019
X-DMM: Fast and Scalable Model Based Text Clustering
AAAI 2019
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope
CVPR 2019
Document Informed Neural Autoregressive Topic Models with Distributional Prior
AAAI 2019
Probabilistic Logic Programming with Beta-Distributed Random Variables
AAAI 2019
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
AAAI 2019
Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption
UAI 2019
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation
AAAI 2019
Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps
RSS 2019
Expressive power of tensor-network factorizations for probabilistic modeling
NIPS 2019
Real-Time Robotic Search using Structural Spatial Point Processes
UAI 2019
Marginal Inference in Continuous Markov Random Fields Using Mixtures
AAAI 2019
Minimum Stein Discrepancy Estimators
NIPS 2019
Coordinated hippocampal-entorhinal replay as structural inference
NIPS 2019
Generating and Sampling Orbits for Lifted Probabilistic Inference
UAI 2019
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