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Bayesian Inference

4,821 papers

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Papers

Safe Exploration for Interactive Machine Learning NIPS 2019
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels NIPS 2019
Discriminative Topic Modeling with Logistic LDA NIPS 2019
Importance Weighted Hierarchical Variational Inference NIPS 2019
VIREL: A Variational Inference Framework for Reinforcement Learning NIPS 2019
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes NIPS 2019
Variational Bayesian Decision-making for Continuous Utilities NIPS 2019
Stein Variational Gradient Descent With Matrix-Valued Kernels NIPS 2019
The Thermodynamic Variational Objective NIPS 2019
Multi-task Learning for Aggregated Data using Gaussian Processes NIPS 2019
Hyperparameter Learning via Distributional Transfer NIPS 2019
Structured Variational Inference in Continuous Cox Process Models NIPS 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NIPS 2019
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI NIPS 2019
Scalable Global Optimization via Local Bayesian Optimization NIPS 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NIPS 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning NIPS 2019
Addressing Failure Prediction by Learning Model Confidence NIPS 2019
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes NIPS 2019
Uncertainty on Asynchronous Time Event Prediction NIPS 2019
Sparse Variational Inference: Bayesian Coresets from Scratch NIPS 2019
Learning Hierarchical Priors in VAEs NIPS 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse NIPS 2019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks NIPS 2019
The Implicit Metropolis-Hastings Algorithm NIPS 2019