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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018
Multivariate Bayesian Structural Time Series Model JMLR 2018
Fast Model Identification via Physics Engines for Data-Efficient Policy Search IJCAI 2018
Exploration by Distributional Reinforcement Learning IJCAI 2018
Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems ICML 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale ICML 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam ICML 2018
The Hierarchical Adaptive Forgetting Variational Filter ICML 2018
The Uncertainty Bellman Equation and Exploration ICML 2018
Predicting Japanese Word Order in Double Object Constructions ACL 2018
Representing Social Media Users for Sarcasm Detection EMNLP 2018
Algorithms for the Nearest Assignment Problem IJCAI 2018
Efficient Symbolic Integration for Probabilistic Inference IJCAI 2018
Efficient Localized Inference for Large Graphical Models IJCAI 2018
Parameterised Queries and Lifted Query Answering IJCAI 2018
Interactive Optimal Teaching with Unknown Learners IJCAI 2018
Z-Transforms and its Inference on Partially Observable Point Processes IJCAI 2018
Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus IJCAI 2018
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018
Variational Network Inference: Strong and Stable with Concrete Support ICML 2018
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) ICML 2018
Robust and Scalable Models of Microbiome Dynamics ICML 2018
Learning unknown ODE models with Gaussian processes ICML 2018