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Bayesian Inference

5,566 papers

Papers per year

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176
522
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Papers

Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach NIPS 2018
Lifted Weighted Mini-Bucket NIPS 2018
Scalar Posterior Sampling with Applications NIPS 2018
Scaling Gaussian Process Regression with Derivatives NIPS 2018
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NIPS 2018
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound NIPS 2018
Orthogonally Decoupled Variational Gaussian Processes NIPS 2018
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation NIPS 2018
Efficient inference for time-varying behavior during learning NIPS 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NIPS 2018
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient NIPS 2018
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NIPS 2018
Bandit Learning with Implicit Feedback NIPS 2018
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues NIPS 2018
Using Large Ensembles of Control Variates for Variational Inference NIPS 2018
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NIPS 2018
Bayesian Model-Agnostic Meta-Learning NIPS 2018
A Reduction for Efficient LDA Topic Reconstruction NIPS 2018
Parsimonious Bayesian deep networks NIPS 2018
Proximal Graphical Event Models NIPS 2018
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NIPS 2018
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting NIPS 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport NIPS 2018
An Information-Theoretic Analysis for Thompson Sampling with Many Actions NIPS 2018
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NIPS 2018