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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

An equivalence between high dimensional Bayes optimal inference and M-estimation NIPS 2016
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image CVPR 2016
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching AISTATS 2016
A New PAC-Bayesian Perspective on Domain Adaptation ICML 2016
Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction CVPR 2016
Simple Bayesian Algorithms for Best Arm Identification COLT 2016
On the Issue of Calibration in DNN-Based Speaker Recognition Systems INTERSPEECH 2016
Relevant sparse codes with variational information bottleneck NIPS 2016
Scalable Gaussian Process Classification via Expectation Propagation AISTATS 2016
Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models AISTATS 2016
Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics JMLR 2016
Rényi Divergence Variational Inference NIPS 2016
Extending the Use of Adaptor Grammars for Unsupervised Morphological Segmentation of Unseen Languages COLING 2016
Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics ICML 2016
Coresets for Scalable Bayesian Logistic Regression NIPS 2016
Herded Gibbs Sampling JMLR 2016
A Pseudo-Bayesian Algorithm for Robust PCA NIPS 2016
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NIPS 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NIPS 2016
Conditional Generative Moment-Matching Networks NIPS 2016
Fast Inference for Interactive Models of Text COLING 2016
Bayesian Generalised Ensemble Markov Chain Monte Carlo AISTATS 2016
Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling JMLR 2016
Learning under uncertainty: a comparison between R-W and Bayesian approach NIPS 2016
A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016