conftrace_
← Artificial Intelligence
Artificial Intelligence ›

Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

1
9
114
135
395
144
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012
Bayesian Quadrature for Ratios 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
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012
Flexible Martingale Priors for Deep Hierarchies AISTATS 2012
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach AISTATS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
Randomized Optimum Models for Structured Prediction AISTATS 2012
A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012
A Composite Likelihood View for Multi-Label Classification AISTATS 2012
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012
The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression JMLR 2012
Causal Bounds and Observable Constraints for Non-deterministic Models JMLR 2012
A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012
Variational Multinomial Logit Gaussian Process JMLR 2012
Entropy Search for Information-Efficient Global Optimization JMLR 2012
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences JMLR 2012
EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012
Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012
Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion RSS 2012