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Bayesian Inference

4,821 papers

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Papers

Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model AISTATS 2021
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations AISTATS 2021
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups AISTATS 2021
Causal Modeling with Stochastic Confounders AISTATS 2021
The Multiple Instance Learning Gaussian Process Probit Model AISTATS 2021
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon AISTATS 2021
Kernel Interpolation for Scalable Online Gaussian Processes AISTATS 2021
A Hybrid Approximation to the Marginal Likelihood AISTATS 2021
Scalable Gaussian Process Variational Autoencoders AISTATS 2021
Dirichlet Pruning for Convolutional Neural Networks AISTATS 2021
Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain AISTATS 2021
Latent Gaussian process with composite likelihoods and numerical quadrature AISTATS 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning AISTATS 2021
Rate-Regularization and Generalization in Variational Autoencoders AISTATS 2021
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models AISTATS 2021
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling AISTATS 2021
Meta-Learning Divergences for Variational Inference AISTATS 2021
Graph Gamma Process Linear Dynamical Systems AISTATS 2021
Efficient sampling from the Bingham distribution ALT 2021
Quantifying Variational Approximation for Log-Partition Function COLT 2021
On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021
Information Bottleneck Disentanglement for Identity Swapping CVPR 2021