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Bayesian Inference

4821 directly classified papers

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Papers

Sequential Monte Carlo for Graphical Models NIPS 2014
Putting MRFs on a Tensor Train ICML 2014
Bayesian Optimization with Inequality Constraints ICML 2014
Distributed Stochastic Gradient MCMC ICML 2014
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014
Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014
Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014
Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014
Scalable Variational Bayesian Matrix Factorization with Side Information AISTATS 2014
Finding a most biased coin with fewest flips COLT 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014
Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014
Multiview Shape and Reflectance from Natural Illumination CVPR 2014
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014
Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014
Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014
Fully-Automatic Bayesian Piecewise Sparse Linear Models AISTATS 2014
Tilted Variational Bayes AISTATS 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014
A Stepwise uncertainty reduction approach to constrained global optimization AISTATS 2014
Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process AISTATS 2014
Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014