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← Bayesian & Probabilistic
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Bayesian & Probabilistic
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Probabilistic Modeling
2591 directly classified papers
Papers per year
2000: 1
2001: 1
2002: 2
2003: 3
2004: 3
2005: 8
2006: 31
2007: 34
2008: 43
2009: 38
2010: 78
2011: 56
2012: 76
2013: 94
2014: 103
2015: 87
2016: 118
2017: 128
2018: 149
2019: 227
2020: 232
2021: 265
2022: 218
2023: 256
2024: 198
2025: 84
2026: 58
Papers
The Neurodynamics of Belief Propagation on Binary Markov Random Fields
NIPS 2006
Multi-dynamic Bayesian Networks
NIPS 2006
Distributed Inference in Dynamical Systems
NIPS 2006
Relational Learning with Gaussian Processes
NIPS 2006
Probabilistic Terrain Analysis For High-Speed Desert Driving
RSS 2006
Detecting Humans via Their Pose
NIPS 2006
Noisy-OR Component Analysis and its Application to Link Analysis
JMLR 2006
Walk-Sums and Belief Propagation in Gaussian Graphical Models
JMLR 2006
Linear Programming Relaxations and Belief Propagation -- An Empirical Study
JMLR 2006
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting
JMLR 2006
Learning Factor Graphs in Polynomial Time and Sample Complexity
JMLR 2006
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
JMLR 2006
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
JMLR 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization
NIPS 2006
Using Combinatorial Optimization within Max-Product Belief Propagation
NIPS 2006
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
JMLR 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
NIPS 2006
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space
NIPS 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy
NIPS 2006
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo
NIPS 2006
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models
NIPS 2006
Context Effects in Category Learning: An Investigation of Four Probabilistic Models
NIPS 2006
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
NIPS 2006
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
JMLR 2005
Interacting Markov Random Fields for Simultaneous Terrain Modeling and Obstacle Detection
RSS 2005
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