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Bayesian Inference

5,566 papers

Papers per year

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Papers

Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models NIPS 2017
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NIPS 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes NIPS 2017
Concrete Dropout NIPS 2017
Multiresolution Kernel Approximation for Gaussian Process Regression NIPS 2017
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NIPS 2017
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces NIPS 2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NIPS 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NIPS 2017
Adaptive Active Hypothesis Testing under Limited Information NIPS 2017
Scalable Model Selection for Belief Networks NIPS 2017
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NIPS 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NIPS 2017
Improving the Expected Improvement Algorithm NIPS 2017
Tomography of the London Underground: a Scalable Model for Origin-Destination Data NIPS 2017
Gaussian process based nonlinear latent structure discovery in multivariate spike train data NIPS 2017
Perturbative Black Box Variational Inference NIPS 2017
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017
Non-Stationary Spectral Kernels NIPS 2017
Neural Expectation Maximization NIPS 2017
Tractability in Structured Probability Spaces NIPS 2017
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search NIPS 2017
Multi-Information Source Optimization NIPS 2017
Differentially private Bayesian learning on distributed data NIPS 2017
Efficient and Flexible Inference for Stochastic Systems NIPS 2017