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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NIPS 2018
Fast Estimation of Causal Interactions using Wold Processes NIPS 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification NIPS 2018
Scaling Gaussian Process Regression with Derivatives NIPS 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018
Bayesian Trees for Automated Cytometry Data Analysis MLHC 2018
Joint Learning of J-Vector Extractor and Joint Bayesian Model for Text Dependent Speaker Verification INTERSPEECH 2018
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures AISTATS 2018
Covariances, Robustness, and Variational Bayes JMLR 2018
A Bayesian Nonparametric View on Count-Min Sketch NIPS 2018
Pattern-Based Behavioural Analysis on Neurosurgical Simulation Data MLHC 2018
Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018
Variational Inference with Tail-adaptive f-Divergence NIPS 2018
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs NIPS 2018
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NIPS 2018
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NIPS 2018
Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018
Stochastic Variance-Reduced Hamilton Monte Carlo Methods ICML 2018
Message Passing Stein Variational Gradient Descent ICML 2018
Nested CRP with Hawkes-Gaussian Processes AISTATS 2018
Rectangular Bounding Process NIPS 2018
Learning Conceptual Space Representations of Interrelated Concepts IJCAI 2018