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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
'05
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'15
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'25

Papers (including subtopics)

A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012
Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis AISTATS 2012
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
Informative Priors for Markov Blanket Discovery AISTATS 2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012
Low rank continuous-space graphical models AISTATS 2012
Efficient and Exact MAP-MRF Inference using Branch and Bound AISTATS 2012
On Estimation and Selection for Topic Models AISTATS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
Randomized Optimum Models for Structured Prediction AISTATS 2012
Fast Variational Mode-Seeking AISTATS 2012
A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012
Causality with Gates AISTATS 2012
A Composite Likelihood View for Multi-Label Classification AISTATS 2012
Beta-Negative Binomial Process and Poisson Factor Analysis AISTATS 2012
The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012
PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012
A Method of Moments for Mixture Models and Hidden Markov Models COLT 2012
Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012
A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012
Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression RSS 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012