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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)

Information-based learning by agents in unbounded state spaces NIPS 2014
Bayesian Inference for Structured Spike and Slab Priors NIPS 2014
Restricted Boltzmann machines modeling human choice NIPS 2014
Extended and Unscented Gaussian Processes NIPS 2014
Incremental Local Gaussian Regression NIPS 2014
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NIPS 2014
Inferring synaptic conductances from spike trains with a biophysically inspired point process model NIPS 2014
Mind the Nuisance: Gaussian Process Classification using Privileged Noise NIPS 2014
Nonparametric Bayesian inference on multivariate exponential families NIPS 2014
Advances in Learning Bayesian Networks of Bounded Treewidth NIPS 2014
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
Conditional Random Field Autoencoders for Unsupervised Structured Prediction NIPS 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
Robust Bayesian Max-Margin Clustering NIPS 2014
Scalable Inference for Neuronal Connectivity from Calcium Imaging NIPS 2014
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NIPS 2014
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process NIPS 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014
Recursive Inversion Models for Permutations NIPS 2014
Learning Time-Varying Coverage Functions NIPS 2014
General Table Completion using a Bayesian Nonparametric Model NIPS 2014
Learning Mixtures of Ranking Models NIPS 2014
Distributed Parameter Estimation in Probabilistic Graphical Models NIPS 2014
From MAP to Marginals: Variational Inference in Bayesian Submodular Models NIPS 2014