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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Analysis of Brain States from Multi-Region LFP Time-Series NIPS 2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NIPS 2014
New Rules for Domain Independent Lifted MAP Inference NIPS 2014
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NIPS 2014
A Statistical Decision-Theoretic Framework for Social Choice NIPS 2014
On Prior Distributions and Approximate Inference for Structured Variables NIPS 2014
Decoupled Variational Gaussian Inference NIPS 2014
Augur: Data-Parallel Probabilistic Modeling NIPS 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
General Table Completion using a Bayesian Nonparametric Model NIPS 2014
Robust Bayesian Max-Margin Clustering NIPS 2014
Causal Inference through a Witness Protection Program NIPS 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
Spectral Methods for Indian Buffet Process Inference NIPS 2014
A Framework for Testing Identifiability of Bayesian Models of Perception NIPS 2014
Distance-Based Network Recovery under Feature Correlation NIPS 2014
Dependent nonparametric trees for dynamic hierarchical clustering NIPS 2014
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NIPS 2014
Mind the Nuisance: Gaussian Process Classification using Privileged Noise NIPS 2014
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process ICML 2014
Exploring the Mind: Integrating Questionnaires and fMRI ICML 2013
Machine Teaching for Bayesian Learners in the Exponential Family NIPS 2013
High-Dimensional Gaussian Process Bandits NIPS 2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference NIPS 2013
Universal models for binary spike patterns using centered Dirichlet processes NIPS 2013