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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
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Papers (including subtopics)

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
Accurate and conservative estimates of MRF log-likelihood using reverse annealing AISTATS 2015
Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015
Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015
Model Selection for Topic Models via Spectral Decomposition AISTATS 2015
A Topic Modeling Approach to Ranking AISTATS 2015
A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models AISTATS 2015
Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015
Scalable Variational Gaussian Process Classification AISTATS 2015
Stochastic Structured Variational Inference AISTATS 2015
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process AISTATS 2015
Sparse Submodular Probabilistic PCA AISTATS 2015
Latent feature regression for multivariate count data AISTATS 2015
Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015
MCMC Learning COLT 2015
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015
Latent Trees for Estimating Intensity of Facial Action Units CVPR 2015
Indoor Scene Structure Analysis for Single Image Depth Estimation CVPR 2015
Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015
A Statistical Model of Riemannian Metric Variation for Deformable Shape Analysis CVPR 2015
Bayesian Adaptive Matrix Factorization With Automatic Model Selection CVPR 2015
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015
Bayesian Inference for Neighborhood Filters With Application in Denoising CVPR 2015
Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015
Probability Occupancy Maps for Occluded Depth Images CVPR 2015