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Bayesian Inference

4821 directly classified papers

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Papers

PAC-Bayesian Bounds based on the Rényi Divergence AISTATS 2016
Batch Bayesian Optimization via Local Penalization AISTATS 2016
Unsupervised Stress Information Labeling Using Gaussian Process Latent Variable Model for Statistical Speech Synthesis INTERSPEECH 2016
Partition Functions from Rao-Blackwellized Tempered Sampling ICML 2016
Reconstructing Parameters of Spreading Models from Partial Observations NIPS 2016
Parallel Markov Chain Monte Carlo via Spectral Clustering AISTATS 2016
Robust Sound Event Detection in Continuous Audio Environments INTERSPEECH 2016
Chained Gaussian Processes AISTATS 2016
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks AISTATS 2016
Variational Inference for Monte Carlo Objectives ICML 2016
Optimistic Gittins Indices NIPS 2016
Mondrian Forests for Large-Scale Regression when Uncertainty Matters AISTATS 2016
MCMC Shape Sampling for Image Segmentation With Nonparametric Shape Priors CVPR 2016
Conditional Graphical Lasso for Multi-Label Image Classification CVPR 2016
Ladder Variational Autoencoders NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NIPS 2016
Latent Space Inference of Internet-Scale Networks JMLR 2016
Recursive Decentralized Collaborative Localization for Sparsely Communicating Robots RSS 2016
A Bayesian method for reducing bias in neural representational similarity analysis NIPS 2016
Computational Imaging for VLBI Image Reconstruction CVPR 2016
Situated Language Understanding with Human-like and Visualization-Based Transparency RSS 2016
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NIPS 2016
The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM ICML 2016
A Gibbs Sampler for Learning DAGs JMLR 2016