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bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Efficient Continuous-Time Markov Chain Estimation ICML 2014
Learning the Parameters of Determinantal Point Process Kernels ICML 2014
Discovering Latent Network Structure in Point Process Data ICML 2014
A framework for studying synaptic plasticity with neural spike train data NIPS 2014
Particle Gibbs with Ancestor Sampling JMLR 2014
Expectation Propagation for Neural Networks with Sparsity-Promoting Priors JMLR 2014
Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014
Asymptotic Accuracy of Distribution-Based Estimation of Latent Variables JMLR 2014
A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014
Sparse Bayesian structure learning with “dependent relevance determination” priors NIPS 2014
Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs JMLR 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo JMLR 2014
Scalable Inference for Neuronal Connectivity from Calcium Imaging NIPS 2014
Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget ICML 2014
Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications ICML 2014
A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions CVPR 2014
Bayesian Active Appearance Models CVPR 2014
Von Mises-Fisher Clustering Models ICML 2014
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis ICML 2014
Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models ICML 2014
Nonparametric Bayesian inference on multivariate exponential families NIPS 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Latent Confusion Analysis by Normalized Gamma Construction ICML 2014
Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014