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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

Bayesian Boolean Matrix Factorisation ICML 2017
Automatic Discovery of the Statistical Types of Variables in a Dataset ICML 2017
Post-Inference Prior Swapping ICML 2017
Bayesian Aggregation of Categorical Distributions with Applications in Crowdsourcing IJCAI 2017
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic IJCAI 2017
Bayesian Dynamic Mode Decomposition IJCAI 2017
A Correlated Topic Model Using Word Embeddings IJCAI 2017
Improving Learning-from-Crowds through Expert Validation IJCAI 2017
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach IJCAI 2017
Probability Bounds for Overlapping Coalition Formation IJCAI 2017
Robust Survey Aggregation with Student-t Distribution and Sparse Representation IJCAI 2017
Probabilistic Inference in Hybrid Domains IJCAI 2017
Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017
Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos CVPR 2017
Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning CVPR 2017
Dynamic Time-Of-Flight CVPR 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NIPS 2017
Expectation Propagation for t-Exponential Family Using q-Algebra NIPS 2017
Parallel Streaming Wasserstein Barycenters NIPS 2017
Scalable Model Selection for Belief Networks NIPS 2017
Convergence rates of a partition based Bayesian multivariate density estimation method NIPS 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders NIPS 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes NIPS 2017
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NIPS 2017
A Bayesian Data Augmentation Approach for Learning Deep Models NIPS 2017