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Bayesian Inference

4821 directly classified papers

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Papers

Distributed Flexible Nonlinear Tensor Factorization NIPS 2016
Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing JMLR 2016
Neural Variational Inference for Text Processing ICML 2016
Bayesian Policy Gradient and Actor-Critic Algorithms JMLR 2016
Data-driven learning of symbolic constraints for a log-linear model in a phonological setting COLING 2016
On Bayes Risk Lower Bounds JMLR 2016
Time-Varying Gaussian Process Bandit Optimization AISTATS 2016
Bayesian Intermittent Demand Forecasting for Large Inventories NIPS 2016
A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees AISTATS 2016
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NIPS 2016
Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders JMLR 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors ICML 2016
A Probabilistic Framework for Color-Based Point Set Registration CVPR 2016
Stochastic Gradient Geodesic MCMC Methods NIPS 2016
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics NIPS 2016
Occlusion Boundary Detection via Deep Exploration of Context CVPR 2016
Learning privately from multiparty data ICML 2016
Extended and Unscented Kitchen Sinks ICML 2016
Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues JMLR 2016
DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression ICML 2016
Deep Gaussian Processes for Regression using Approximate Expectation Propagation ICML 2016
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods NIPS 2016
Collapsed Variational Inference for Sum-Product Networks ICML 2016
From Noise Modeling to Blind Image Denoising CVPR 2016
Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends ICML 2016