Bayesian Learning
483 papers
Papers per year
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36
31
26
11
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44
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Papers
Bayesian Learning of Neural Network Architectures
AISTATS 2019
Bayesian Loss for Crowd Count Estimation With Point Supervision
ICCV 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
CoRL 2019
BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification
CoNLL 2019
Communication-Efficient Stochastic Gradient MCMC for Neural Networks
AAAI 2019
Dependent relevance determination for smooth and structured sparse regression
JMLR 2019
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
UAI 2019
Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition
Interspeech 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
UAI 2019
Fast Iterative Combinatorial Auctions via Bayesian Learning
AAAI 2019
Forward and Backward Knowledge Transfer for Sentiment Classification
ACML 2019
Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning
CoRL 2019
Interaction Detection with Bayesian Decision Tree Ensembles
AISTATS 2019
Learning Diverse Bayesian Networks
AAAI 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation
UAI 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
UAI 2019
On Asymptotic and Finite-Time Optimality of Bayesian Predictors
JMLR 2019
Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter
ACML 2019
Prediction Risk for the Horseshoe Regression
JMLR 2019
Random Clique Covers for Graphs with Local Density and Global Sparsity
UAI 2019
Subspace Inference for Bayesian Deep Learning
UAI 2019
Variational Inference of Penalized Regression with Submodular Functions
UAI 2019
Variational Training for Large-Scale Noisy-OR Bayesian Networks
UAI 2019
XBART: Accelerated Bayesian Additive Regression Trees
AISTATS 2019
A Data-Efficient Approach to Precise and Controlled Pushing
CoRL 2018