Bayesian Inference

A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016 An equivalence between high dimensional Bayes optimal inference and M-estimation NeurIPS 2016 A New PAC-Bayesian Perspective on Domain Adaptation ICML 2016 An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators Interspeech 2016 An Information-Theoretic Analysis of Thompson Sampling JMLR 2016 A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics NeurIPS 2016 A Probabilistic Framework for Color-Based Point Set Registration CVPR 2016 A Probabilistic Framework for Deep Learning NeurIPS 2016 A Probabilistic Model of Social Decision Making based on Reward Maximization NeurIPS 2016 A Pseudo-Bayesian Algorithm for Robust PCA NeurIPS 2016 A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NeurIPS 2016 Augmentable Gamma Belief Networks JMLR 2016 A Variational Analysis of Stochastic Gradient Algorithms ICML 2016 A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes JMLR 2016 Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NeurIPS 2016 BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces ICML 2016 Batch Bayesian Optimization via Local Penalization AISTATS 2016 Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing JMLR 2016 Bayesian Generalised Ensemble Markov Chain Monte Carlo AISTATS 2016 Bayesian Graphical Models for Multivariate Functional Data JMLR 2016 Bayesian Intermittent Demand Forecasting for Large Inventories NeurIPS 2016 Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words COLING 2016 Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models JMLR 2016 Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016 Bayesian Nonparametric Kernel-Learning AISTATS 2016