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Bayesian Learning

455 directly classified papers

Papers per year

Papers

Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks UAI 2019
Dependent relevance determination for smooth and structured sparse regression JMLR 2019
Random Clique Covers for Graphs with Local Density and Global Sparsity UAI 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions UAI 2019
Learning Diverse Bayesian Networks AAAI 2019
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification AAAI 2019
Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019
Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition INTERSPEECH 2019
On Asymptotic and Finite-Time Optimality of Bayesian Predictors JMLR 2019
Efficiently Sampling from Underlying Models RSS 2018
Bayesian Network Structure Learning with Side Constraints PGM 2018
Learning Bayesian Networks by Branching on Constraints PGM 2018
Naive Bayesian Classifiers with Extreme Probability Features PGM 2018
Finding Optimal Bayesian Networks with Local Structure PGM 2018
Exact learning augmented naive Bayes classifier PGM 2018
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data NIPS 2018
Formal Verification of Bayesian Network Classifiers PGM 2018
Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM 2018
A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018
Instance-Specific Bayesian Network Structure Learning PGM 2018
On the Relative Expressiveness of Bayesian and Neural Networks PGM 2018
Structure Learning for Bayesian Networks over Labeled DAGs PGM 2018
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments CORL 2018
Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018
Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018