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

Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014
On the Testability of Models with Missing Data AISTATS 2014
Black Box Variational Inference AISTATS 2014
Lifted MAP Inference for Markov Logic Networks AISTATS 2014
Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014
Loopy Belief Propagation in the Presence of Determinism AISTATS 2014
Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel AISTATS 2014
SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication AISTATS 2014
Accelerating ABC methods using Gaussian processes AISTATS 2014
A New Approach to Probabilistic Programming Inference AISTATS 2014
Generating Efficient MCMC Kernels from Probabilistic Programs AISTATS 2014
Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014
Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior CVPR 2014
Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI CVPR 2014
Efficient Nonlinear Markov Models for Human Motion CVPR 2014
Dirichlet-based Histogram Feature Transform for Image Classification CVPR 2014
Color Transfer Using Probabilistic Moving Least Squares CVPR 2014
Interval Tracker: Tracking by Interval Analysis CVPR 2014
Bayesian View Synthesis and Image-Based Rendering Principles CVPR 2014
Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014
Ground Plane Estimation using a Hidden Markov Model CVPR 2014
Fast Allocation of Gaussian Process Experts ICML 2014
Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014
Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014
A Deep and Tractable Density Estimator ICML 2014