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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Finding All Bayesian Network Structures within a Factor of Optimal AAAI 2019
Stein Variational Gradient Descent With Matrix-Valued Kernels NIPS 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search ICML 2019
Understanding Priors in Bayesian Neural Networks at the Unit Level ICML 2019
Conditional Independence in Testing Bayesian Networks ICML 2019
On the Performance of Thompson Sampling on Logistic Bandits COLT 2019
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series NIPS 2019
Fingerprint Policy Optimisation for Robust Reinforcement Learning ICML 2019
Learning Structured Decision Problems with Unawareness ICML 2019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019
Cost Effective Active Search NIPS 2019
Probabilistic Model Checking of Robots Deployed in Extreme Environments AAAI 2019
Pseudo-Extended Markov chain Monte Carlo NIPS 2019
That’s Mine! Learning Ownership Relations and Norms for Robots AAAI 2019
Gradient-based Adaptive Markov Chain Monte Carlo NIPS 2019
Meta Learning with Relational Information for Short Sequences NIPS 2019
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse NIPS 2019
Self-Adversarially Learned Bayesian Sampling AAAI 2019
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NIPS 2019
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process AAAI 2019
Learning Bayesian Networks with Low Rank Conditional Probability Tables NIPS 2019
Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019
Multi-task Learning for Aggregated Data using Gaussian Processes NIPS 2019
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging UAI 2019
Covariate-Powered Empirical Bayes Estimation NIPS 2019