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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
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Papers

A Marginalized Particle Gaussian Process Regression NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
Bayesian Probabilistic Co-Subspace Addition NIPS 2012
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NIPS 2012
Bayesian models for Large-scale Hierarchical Classification NIPS 2012
Random Utility Theory for Social Choice NIPS 2012
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NIPS 2012
A Polynomial-time Form of Robust Regression NIPS 2012
A nonparametric variable clustering model NIPS 2012
Probabilistic Low-Rank Subspace Clustering NIPS 2012
Fully Bayesian inference for neural models with negative-binomial spiking NIPS 2012
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NIPS 2012
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NIPS 2012
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NIPS 2012
Priors for Diversity in Generative Latent Variable Models NIPS 2012
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data NIPS 2012
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NIPS 2012
The Time-Marginalized Coalescent Prior for Hierarchical Clustering NIPS 2012
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NIPS 2012
Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012
Learning with Target Prior NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NIPS 2012
Assessing Blinding in Clinical Trials NIPS 2012
Scalable Inference of Overlapping Communities NIPS 2012