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← Bayesian & Probabilistic
Artificial Intelligence
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Bayesian & Probabilistic
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Bayesian Inference
518 directly classified papers
Papers per year
2003: 1
2006: 14
2007: 12
2008: 10
2009: 12
2010: 9
2011: 13
2012: 18
2013: 32
2014: 20
2015: 8
2016: 28
2017: 21
2018: 22
2019: 40
2020: 42
2021: 41
2022: 51
2023: 36
2024: 58
2025: 30
Papers
Understanding Bayesian Rooms Using Composite 3D Object Models
CVPR 2013
A Non-parametric Bayesian Network Prior of Human Pose
ICCV 2013
Exploiting the Power of Stereo Confidences
CVPR 2013
Bayesian Hierarchical Community Discovery
NIPS 2013
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
NIPS 2012
Fast Variational Inference in the Conjugate Exponential Family
NIPS 2012
Bayesian Hierarchical Reinforcement Learning
NIPS 2012
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
NIPS 2012
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making
NIPS 2012
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
NIPS 2012
Entangled Monte Carlo
NIPS 2012
Learning curves for multi-task Gaussian process regression
NIPS 2012
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference
NIPS 2012
Inference on networks of mixtures for robust robot mapping
RSS 2012
Variational Bayesian Optimization for Runtime Risk-Sensitive Control
RSS 2012
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach
AISTATS 2012
Affine Independent Variational Inference
NIPS 2012
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
NIPS 2012
Fully Bayesian inference for neural models with negative-binomial spiking
NIPS 2012
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes
NIPS 2012
Burn-in, bias, and the rationality of anchoring
NIPS 2012
The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators
COLT 2012
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo
ACML 2011
Gaussian Process Training with Input Noise
NIPS 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise
NIPS 2011
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