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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)

A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NIPS 2013
Probabilistic Movement Primitives NIPS 2013
Message Passing Inference with Chemical Reaction Networks NIPS 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Spike train entropy-rate estimation using hierarchical Dirichlet process priors NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
Using multiple samples to learn mixture models NIPS 2013
First-order Decomposition Trees NIPS 2013
Noise-Enhanced Associative Memories NIPS 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013
Lexical and Hierarchical Topic Regression NIPS 2013
A simple example of Dirichlet process mixture inconsistency for the number of components NIPS 2013
Bayesian entropy estimation for binary spike train data using parametric prior knowledge NIPS 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NIPS 2013
Annealing between distributions by averaging moments NIPS 2013
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NIPS 2013
Linear Approximation to ADMM for MAP inference ACML 2013
A unifying representation for a class of dependent random measures AISTATS 2013
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013
Efficiently Sampling Probabilistic Programs via Program Analysis AISTATS 2013
Computing the M Most Probable Modes of a Graphical Model AISTATS 2013
Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013
Deep Gaussian Processes AISTATS 2013
ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013
Dynamic Copula Networks for Modeling Real-valued Time Series AISTATS 2013