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Bayesian Learning

1,663 papers

Papers per year

2
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52
137
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Papers

Scaling Gaussian Process Regression with Derivatives NIPS 2018
Temporal alignment and latent Gaussian process factor inference in population spike trains NIPS 2018
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient NIPS 2018
Learning Invariances using the Marginal Likelihood NIPS 2018
Bandit Learning with Implicit Feedback NIPS 2018
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NIPS 2018
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning NIPS 2018
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation CORL 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018
Variational inference for the multi-armed contextual bandit AISTATS 2018
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures AISTATS 2018
Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations AISTATS 2018
Nested CRP with Hawkes-Gaussian Processes AISTATS 2018
Bayesian Structure Learning for Dynamic Brain Connectivity AISTATS 2018
Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018
The Binary Space Partitioning-Tree Process AISTATS 2018
Efficient Bayesian Methods for Counting Processes in Partially Observable Environments AISTATS 2018
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018
Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model COLING 2018
A Compositional Bayesian Semantics for Natural Language COLING 2018
Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018
Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models ICML 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent ICML 2018
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization ICML 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018