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← Optimization & Theory
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Optimization & Theory
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Bayesian Inference
4821 directly classified papers
Papers per year
2001: 1
2002: 1
2003: 5
2004: 2
2005: 9
2006: 22
2007: 32
2008: 36
2009: 38
2010: 72
2011: 86
2012: 85
2013: 148
2014: 179
2015: 162
2016: 183
2017: 255
2018: 278
2019: 458
2020: 469
2021: 554
2022: 477
2023: 576
2024: 348
2025: 255
2026: 90
Papers
A Parameter-Free Classification Method for Large Scale Learning
JMLR 2009
Controlling the False Discovery Rate of the Association/Causality Structure Learned with the PC Algorithm
JMLR 2009
Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification
JMLR 2009
Nonlinear Models Using Dirichlet Process Mixtures
JMLR 2009
An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity
JMLR 2009
On the consistency of multi-robot cooperative localization
RSS 2009
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications
JMLR 2009
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
NIPS 2009
Distributed Algorithms for Topic Models
JMLR 2009
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise
NIPS 2009
Localizing Bugs in Program Executions with Graphical Models
NIPS 2009
Measuring model complexity with the prior predictive
NIPS 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
NIPS 2009
The Infinite Partially Observable Markov Decision Process
NIPS 2009
Know Thy Neighbour: A Normative Theory of Synaptic Depression
NIPS 2009
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
NIPS 2009
Approximating MAP by Compensating for Structural Relaxations
NIPS 2009
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
NIPS 2009
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
NIPS 2009
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
NIPS 2009
Hierarchical Learning of Dimensional Biases in Human Categorization
NIPS 2009
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
NIPS 2009
Bayesian Sparse Factor Models and DAGs Inference and Comparison
NIPS 2009
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations
NIPS 2009
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing
NIPS 2009
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