← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

4821 directly classified papers

Papers per year

Papers

An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling AISTATS 2012
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NIPS 2012
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NIPS 2012
Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012
Assessing Blinding in Clinical Trials NIPS 2012
Scalable Inference of Overlapping Communities NIPS 2012
Affine Independent Variational Inference NIPS 2012
Entangled Monte Carlo NIPS 2012
Bayesian Pedigree Analysis using Measure Factorization NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012
On Lifting the Gibbs Sampling Algorithm NIPS 2012
A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012
Burn-in, bias, and the rationality of anchoring NIPS 2012
Semi-Supervised Domain Adaptation with Non-Parametric Copulas NIPS 2012
Bayesian models for Large-scale Hierarchical Classification NIPS 2012
Fully Bayesian inference for neural models with negative-binomial spiking NIPS 2012
Predicting response time and error rates in visual search NIPS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011
Finite-Time Regional Verification of Stochastic Nonlinear Systems RSS 2011
Analytical Results for the Error in Filtering of Gaussian Processes NIPS 2011
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood JMLR 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011
Kernel Belief Propagation AISTATS 2011
Information Rates of Nonparametric Gaussian Process Methods JMLR 2011