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Methodology
← Bayesian & Probabilistic
Machine Learning
›
Bayesian & Probabilistic
›
Bayesian Inference
1724 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 3
2004: 3
2005: 4
2006: 38
2007: 35
2008: 38
2009: 45
2010: 58
2011: 51
2012: 77
2013: 107
2014: 93
2015: 40
2016: 73
2017: 69
2018: 99
2019: 109
2020: 141
2021: 117
2022: 151
2023: 146
2024: 162
2025: 62
Papers
Latent Data Association: Bayesian Model Selection for Multi-target Tracking
ICCV 2013
Bayesian Robust Matrix Factorization for Image and Video Processing
ICCV 2013
A Non-parametric Bayesian Network Prior of Human Pose
ICCV 2013
Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling
ICCV 2013
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
NIPS 2013
Variational Planning for Graph-based MDPs
NIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions
NIPS 2013
Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation
NIPS 2013
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
NIPS 2013
Small-Variance Asymptotics for Hidden Markov Models
NIPS 2013
PAC-Bayes-Empirical-Bernstein Inequality
NIPS 2013
Nonparametric Multi-group Membership Model for Dynamic Networks
NIPS 2013
EDML for Learning Parameters in Directed and Undirected Graphical Models
NIPS 2013
Flexible sampling of discrete data correlations without the marginal distributions
NIPS 2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits
NIPS 2013
Context-sensitive active sensing in humans
NIPS 2013
Generalized Random Utility Models with Multiple Types
NIPS 2013
Summary Statistics for Partitionings and Feature Allocations
NIPS 2013
Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively
NIPS 2013
Reconciling "priors" & "priors" without prejudice?
NIPS 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning
NIPS 2013
Spike train entropy-rate estimation using hierarchical Dirichlet process priors
NIPS 2013
Active Visual Recognition with Expertise Estimation in Crowdsourcing
ICCV 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations
NIPS 2013
A simple example of Dirichlet process mixture inconsistency for the number of components
NIPS 2013
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