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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Bayesian Nonparametric Spectral Estimation NIPS 2018
Temporal alignment and latent Gaussian process factor inference in population spike trains NIPS 2018
Variational inference for the multi-armed contextual bandit AISTATS 2018
Lifted Filtering via Exchangeable Decomposition IJCAI 2018
The Finite Model Theory of Bayesian Networks: Descriptive Complexity IJCAI 2018
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces IJCAI 2018
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback IJCAI 2018
Markov Blanket and Markov Boundary of Multiple Variables JMLR 2018
Computationally and statistically efficient learning of causal Bayes nets using path queries NIPS 2018
Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors ICML 2018
Bayesian Structure Learning for Dynamic Brain Connectivity AISTATS 2018
Learning Continuous Time Bayesian Networks in Non-stationary Domains IJCAI 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes ICML 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
Robust Learning of Fixed-Structure Bayesian Networks NIPS 2018
A probabilistic population code based on neural samples NIPS 2018
Meta-Learning MCMC Proposals NIPS 2018
Bayesian Adversarial Learning NIPS 2018
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC NIPS 2018
Stochastic Nonparametric Event-Tensor Decomposition NIPS 2018
A Bayes-Sard Cubature Method NIPS 2018
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction NIPS 2018
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo NIPS 2018