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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Coarse-to-Fine Lifted MAP Inference in Computer Vision IJCAI 2017
Bayesian Aggregation of Categorical Distributions with Applications in Crowdsourcing IJCAI 2017
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic IJCAI 2017
Preferential Bayesian Optimization ICML 2017
Joint Discriminative Bayesian Dictionary and Classifier Learning CVPR 2017
A Density-based Nonparametric Model for Online Event Discovery from the Social Media Data IJCAI 2017
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces NIPS 2017
Bayesian Dynamic Mode Decomposition IJCAI 2017
Variational Mixtures of Gaussian Processes for Classification IJCAI 2017
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling JMLR 2017
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server JMLR 2017
Variational Particle Approximations JMLR 2017
GPflow: A Gaussian Process Library using TensorFlow JMLR 2017
YASS: Yet Another Spike Sorter NIPS 2017
Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations RSS 2017
Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach RSS 2017
Simultaneous Trajectory Estimation and Planning via Probabilistic Inference RSS 2017
Automatic Differentiation Variational Inference JMLR 2017
Effective Representing of Information Network by Variational Autoencoder IJCAI 2017
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CORL 2017
Linear Time Computation of Moments in Sum-Product Networks NIPS 2017
Model evidence from nonequilibrium simulations NIPS 2017
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition ACML 2017
Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks ICML 2017