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Bayesian Inference

4821 directly classified papers

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Papers

Inferring synaptic conductances from spike trains with a biophysically inspired point process model NIPS 2014
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input NIPS 2014
Hierarchical Dirichlet Scaling Process ICML 2014
Variational Inference for Sequential Distance Dependent Chinese Restaurant Process ICML 2014
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NIPS 2014
Decomposing Parameter Estimation Problems NIPS 2014
Optimal prior-dependent neural population codes under shared input noise NIPS 2014
Probabilistic Differential Dynamic Programming NIPS 2014
Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval CVPR 2014
A Widely Applicable Bayesian Information Criterion JMLR 2013
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers ICML 2013
Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013
Stochastic Variational Inference JMLR 2013
Orderless Tracking through Model-Averaged Posterior Estimation ICCV 2013
Randomized Ensemble Tracking ICCV 2013
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities ICML 2013
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013
Slice Sampling Particle Belief Propagation ICCV 2013
Quasi-Newton Method: A New Direction JMLR 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013
Inference algorithms for pattern-based CRFs on sequence data ICML 2013
Top-down particle filtering for Bayesian decision trees ICML 2013
Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables AISTATS 2013
Hierarchical Tensor Decomposition of Latent Tree Graphical Models ICML 2013