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Bayesian Inference

6,267 papers

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Papers

Latent Point Process Allocation AISTATS 2016 Latent Space Inference of Internet-Scale Networks JMLR 2016 Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016 Learning a Translation Model from Word Lattices Interspeech 2016 Learning privately from multiparty data ICML 2016 Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016 Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework CVPR 2016 Learning under uncertainty: a comparison between R-W and Bayesian approach NeurIPS 2016 Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification CVPR 2016 Likelihood Ratio Calculation in Acoustic-Phonetic Forensic Voice Comparison: Comparison of Three Statistical Modelling Approaches Interspeech 2016 Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks PGM 2016 Maximum a posteriori Based Decoding for CTC Acoustic Models Interspeech 2016 MCMC Shape Sampling for Image Segmentation With Nonparametric Shape Priors CVPR 2016 Measuring the reliability of MCMC inference with bidirectional Monte Carlo NeurIPS 2016 Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016 Minimum Regret Search for Single- and Multi-Task Optimization ICML 2016 Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends ICML 2016 Modeling topic dependencies in semantically coherent text spans with copulas COLING 2016 Mondrian Forests for Large-Scale Regression when Uncertainty Matters AISTATS 2016 Multiple Output Regression with Latent Noise JMLR 2016 Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models NeurIPS 2016 Natural-Parameter Networks: A Class of Probabilistic Neural Networks NeurIPS 2016 Neural Variational Inference for Text Processing ICML 2016 Observational-Interventional Priors for Dose-Response Learning NeurIPS 2016 Occlusion Boundary Detection via Deep Exploration of Context CVPR 2016