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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NIPS 2013
Demixing odors - fast inference in olfaction NIPS 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
Real-Time Inference for a Gamma Process Model of Neural Spiking NIPS 2013
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NIPS 2013
Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions NIPS 2013
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NIPS 2013
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013
Learning Stochastic Inverses NIPS 2013
Learning Feature Selection Dependencies in Multi-task Learning NIPS 2013
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting NIPS 2013
Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NIPS 2013
Bayesian inference for low rank spatiotemporal neural receptive fields NIPS 2013
Gaussian Process Conditional Copulas with Applications to Financial Time Series NIPS 2013
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NIPS 2013
Low-rank matrix reconstruction and clustering via approximate message passing NIPS 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NIPS 2013
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NIPS 2013
One-shot learning by inverting a compositional causal process NIPS 2013
Streaming Variational Bayes NIPS 2013
Factorized Asymptotic Bayesian Inference for Latent Feature Models NIPS 2013
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NIPS 2013
Restricting exchangeable nonparametric distributions NIPS 2013
Prior-free and prior-dependent regret bounds for Thompson Sampling NIPS 2013