conftrace_
← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Probabilistic Modeling

2,599 papers

Papers per year

1
8
78
87
232
84
'00
'05
'10
'15
'20
'25

Papers

Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial NIPS 2015
Stochastic Expectation Propagation NIPS 2015
Gaussian Process Random Fields NIPS 2015
Decomposition Bounds for Marginal MAP NIPS 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
Submodular Point Processes with Applications to Machine learning AISTATS 2015
Consensus Message Passing for Layered Graphical Models AISTATS 2015
A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015
Missing at Random in Graphical Models AISTATS 2015
Particle Gibbs with Ancestor Sampling for Probabilistic Programs AISTATS 2015
Scalable Nonparametric Multiway Data Analysis AISTATS 2015
Vector-Valued Property Elicitation COLT 2015
MCMC Learning COLT 2015
Latent Trees for Estimating Intensity of Facial Action Units CVPR 2015
Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015
Active Learning for Structured Probabilistic Models With Histogram Approximation CVPR 2015
Picture: A Probabilistic Programming Language for Scene Perception CVPR 2015
Probabilistic Label Relation Graphs With Ising Models ICCV 2015
Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis ICCV 2015
On the Relationship between Sum-Product Networks and Bayesian Networks ICML 2015
Landmarking Manifolds with Gaussian Processes ICML 2015
Markov Mixed Membership Models ICML 2015
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data ICML 2015
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods ICML 2015
Vector-Space Markov Random Fields via Exponential Families ICML 2015