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Bayesian Inference

4821 directly classified papers

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Papers

Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NIPS 2011
Message-Passing for Approximate MAP Inference with Latent Variables NIPS 2011
Gaussian Process Training with Input Noise NIPS 2011
Estimating Probabilities in Recommendation Systems AISTATS 2011
Kernel Embeddings of Latent Tree Graphical Models NIPS 2011
Contextual Gaussian Process Bandit Optimization NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
Sparse Estimation with Structured Dictionaries NIPS 2011
Kernel Bayes' Rule NIPS 2011
Complexity of Inference in Latent Dirichlet Allocation NIPS 2011
MAP Inference for Bayesian Inverse Reinforcement Learning NIPS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Generalised Coupled Tensor Factorisation NIPS 2011
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NIPS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
An Empirical Evaluation of Thompson Sampling NIPS 2011
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
Inference in continuous-time change-point models NIPS 2011
Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks AISTATS 2011
Mixability is Bayes Risk Curvature Relative to Log Loss COLT 2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011
Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011