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Bayesian Inference

518 directly classified papers

Papers per year

Papers

Bayesian Compression for Deep Learning NIPS 2017
Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017
Efficient Inference for Untied MLNs IJCAI 2017
Expectation Propagation for t-Exponential Family Using q-Algebra NIPS 2017
Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction CORL 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NIPS 2017
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network CVPR 2017
Noise-Blind Image Deblurring CVPR 2017
Optimal Feature Selection for Decision Robustness in Bayesian Networks IJCAI 2017
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC AISTATS 2017
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NIPS 2017
Probabilistic Inference in Hybrid Domains IJCAI 2017
High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017
Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017
Weighted Model Integration with Orthogonal Transformations IJCAI 2017
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings EACL 2017
Inference by Reparameterization in Neural Population Codes NIPS 2016
A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016
Causal Inference through a Witness Protection Program JMLR 2016
Hybrid Copula Bayesian Networks PGM 2016
Answer-Type Prediction for Visual Question Answering CVPR 2016
Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks PGM 2016
The Parameterized Complexity of Approximate Inference in Bayesian Networks PGM 2016
Learning Tractable Multidimensional Bayesian Network Classifiers PGM 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016