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Bayesian Inference

5,566 papers

Papers per year

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Papers

Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models AISTATS 2021
Bayesian Inference with Certifiable Adversarial Robustness AISTATS 2021
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021
Direct Loss Minimization for Sparse Gaussian Processes AISTATS 2021
Variational inference for nonlinear ordinary differential equations AISTATS 2021
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective AISTATS 2021
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
Rao-Blackwellised parallel MCMC AISTATS 2021
Scalable Gaussian Process Variational Autoencoders AISTATS 2021
The Base Measure Problem and its Solution 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