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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

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Papers (including subtopics)

The Poisson Gamma Belief Network NIPS 2015
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
Exact Bayesian Learning of Ancestor Relations in Bayesian Networks AISTATS 2015
Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015
Submodular Point Processes with Applications to Machine learning AISTATS 2015
Consensus Message Passing for Layered Graphical Models AISTATS 2015
Latent feature regression for multivariate count data AISTATS 2015
A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015
Reactive bandits with attitude AISTATS 2015
Gamma Processes, Stick-Breaking, and Variational Inference AISTATS 2015
Missing at Random in Graphical Models AISTATS 2015
Particle Gibbs with Ancestor Sampling for Probabilistic Programs AISTATS 2015
Falling Rule Lists 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
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015
Image Segmentation in Twenty Questions CVPR 2015