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Bayesian Inference

4821 directly classified papers

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Papers

d-VMP: Distributed Variational Message Passing PGM 2016
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling ICML 2016
Black-Box Alpha Divergence Minimization ICML 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016
Doubly Decomposing Nonparametric Tensor Regression ICML 2016
Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016
Optimality of Belief Propagation for Crowdsourced Classification ICML 2016
Minimum Regret Search for Single- and Multi-Task Optimization ICML 2016
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces ICML 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016
Estimating Accuracy from Unlabeled Data: A Bayesian Approach ICML 2016
Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies AISTATS 2016
Priors for Speaker Counting and Diarization with AHC INTERSPEECH 2016
Fast Collocation-Based Bayesian HMM Word Alignment COLING 2016
Identifying the irreducible disjoint factors of a multivariate probability distribution PGM 2016
A Field Model for Repairing 3D Shapes CVPR 2016
A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016
Bootstrap-Based Regularization for Low-Rank Matrix Estimation JMLR 2016
Probabilistic Low-Rank Matrix Completion from Quantized Measurements JMLR 2016
Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016
Iterative Refinement of the Approximate Posterior for Directed Belief Networks NIPS 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NIPS 2016
Variational Inference in Mixed Probabilistic Submodular Models NIPS 2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo NIPS 2016