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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
279
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Papers

The Nonparametric Kernel Bayes Smoother AISTATS 2016
Enumerating Equivalence Classes of Bayesian Networks using EC Graphs AISTATS 2016
Batch Bayesian Optimization via Local Penalization AISTATS 2016
Variational Tempering AISTATS 2016
Scalable MCMC for Mixed Membership Stochastic Blockmodels AISTATS 2016
GLASSES: Relieving The Myopia Of Bayesian Optimisation AISTATS 2016
Stochastic Variational Inference for the HDP-HMM AISTATS 2016
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
Variational Gaussian Copula Inference AISTATS 2016
Scalable geometric density estimation AISTATS 2016
High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016
Pseudo-Marginal Slice Sampling AISTATS 2016
Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016
Provable Bayesian Inference via Particle Mirror Descent AISTATS 2016
Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016
Early Stopping as Nonparametric Variational Inference AISTATS 2016
Bayesian Nonparametric Kernel-Learning AISTATS 2016
Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016
Determinantal Regularization for Ensemble Variable Selection AISTATS 2016
A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees AISTATS 2016
Parallel Markov Chain Monte Carlo via Spectral Clustering AISTATS 2016
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016
Chained Gaussian Processes AISTATS 2016
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks AISTATS 2016
Mondrian Forests for Large-Scale Regression when Uncertainty Matters AISTATS 2016