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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Optimal Feature Selection for Decision Robustness in Bayesian Networks IJCAI 2017
Most Probable Explanations for Probabilistic Database Queries IJCAI 2017
Robust Asymmetric Bayesian Adaptive Matrix Factorization IJCAI 2017
Discovering Relevance-Dependent Bicluster Structure from Relational Data IJCAI 2017
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017
Dynamic Collaborative Filtering With Compound Poisson Factorization AISTATS 2017
Asymptotically exact inference in differentiable generative models AISTATS 2017
Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract) IJCAI 2017
Nonparametric Online Machine Learning with Kernels IJCAI 2017
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) IJCAI 2017
Improving Semantic Composition with Offset Inference ACL 2017
Magnetic Hamiltonian Monte Carlo ICML 2017
Fast Bayesian Intensity Estimation for the Permanental Process ICML 2017
Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017
Exact Inference for Integer Latent-Variable Models ICML 2017
Leveraging Node Attributes for Incomplete Relational Data ICML 2017
Probabilistic Inference in Hybrid Domains IJCAI 2017
Inverse Filtering for Hidden Markov Models NIPS 2017
Bayesian Supervised Hashing CVPR 2017
Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning CVPR 2017
Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos CVPR 2017
Diachrony-aware Induction of Binary Latent Representations from Typological Features IJCNLP 2017
A Bayesian Data Augmentation Approach for Learning Deep Models NIPS 2017