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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)

Sparse Bayesian Multi-Task Learning NIPS 2011
Message-Passing for Approximate MAP Inference with Latent Variables NIPS 2011
Kernel Bayes' Rule NIPS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Modelling Genetic Variations using Fragmentation-Coagulation Processes NIPS 2011
Uniqueness of Belief Propagation on Signed Graphs NIPS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011
Learning to Learn with Compound HD Models NIPS 2011
Inductive reasoning about chimeric creatures NIPS 2011
Predicting response time and error rates in visual search NIPS 2011
Robust Multi-Class Gaussian Process Classification NIPS 2011
Practical Variational Inference for Neural Networks NIPS 2011
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference NIPS 2011
On Tracking The Partition Function NIPS 2011
t-divergence Based Approximate Inference NIPS 2011
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NIPS 2011
A Global Structural EM Algorithm for a Model of Cancer Progression NIPS 2011
Infinite Latent SVM for Classification and Multi-task Learning NIPS 2011
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NIPS 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise NIPS 2011
Confidence Sets for Network Structure NIPS 2011
Structural equations and divisive normalization for energy-dependent component analysis NIPS 2011
Gaussian Process Training with Input Noise NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011