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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
'05
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'15
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'25

Papers (including subtopics)

HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
The Infinite Markov Model NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
A probabilistic model for generating realistic lip movements from speech NIPS 2007
Scene Segmentation with CRFs Learned from Partially Labeled Images NIPS 2007
Measuring Neural Synchrony by Message Passing NIPS 2007
Comparing Bayesian models for multisensory cue combination without mandatory integration NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NIPS 2007
Bayesian Co-Training NIPS 2007
Supervised Topic Models NIPS 2007
Probabilistic Matrix Factorization NIPS 2007
Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007
Efficient Inference for Distributions on Permutations NIPS 2007
Agreement-Based Learning NIPS 2007
A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007
Selecting Observations against Adversarial Objectives NIPS 2007
Spatial Latent Dirichlet Allocation NIPS 2007
Learning Visual Attributes NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
The rat as particle filter NIPS 2007
Non-parametric Modeling of Partially Ranked Data NIPS 2007