Bayesian Inference

Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014 Efficiency of conformalized ridge regression COLT 2014 Efficient Continuous-Time Markov Chain Estimation ICML 2014 Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014 Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014 Efficient Occlusive Components Analysis JMLR 2014 Efficient State-Space Inference of Periodic Latent Force Models JMLR 2014 Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Expectation-Maximization for Learning Determinantal Point Processes NeurIPS 2014 Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014 Explicit Link Between Periodic Covariance Functions and State Space Models AISTATS 2014 Extended and Unscented Gaussian Processes NeurIPS 2014 Extracting Latent Structure From Multiple Interacting Neural Populations NeurIPS 2014 Fast Allocation of Gaussian Process Experts ICML 2014 Fast Sampling-Based Inference in Balanced Neuronal Networks NeurIPS 2014 Finding a most biased coin with fewest flips COLT 2014 From MAP to Marginals: Variational Inference in Bayesian Submodular Models NeurIPS 2014 From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity CVPR 2014 Fully-Automatic Bayesian Piecewise Sparse Linear Models AISTATS 2014 Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014 Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014 Gaussian Process Optimization with Mutual Information ICML 2014 Gaussian Process Volatility Model NeurIPS 2014 General Table Completion using a Bayesian Nonparametric Model NeurIPS 2014