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Bayesian Inference

5,566 papers

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Papers

Neural Contextual Bandits without Regret AISTATS 2022
Being a Bit Frequentist Improves Bayesian Neural Networks AISTATS 2022
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations AISTATS 2022
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data AISTATS 2022
Variational Marginal Particle Filters AISTATS 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap AISTATS 2022
Survival regression with proper scoring rules and monotonic neural networks AISTATS 2022
Physics Informed Deep Kernel Learning AISTATS 2022
Robust Probabilistic Time Series Forecasting AISTATS 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition AISTATS 2022
A Complete Characterisation of ReLU-Invariant Distributions AISTATS 2022
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference AISTATS 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? AISTATS 2022
A Bayesian Model for Online Activity Sample Sizes AISTATS 2022
Parallel MCMC Without Embarrassing Failures AISTATS 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022
Conditionally Gaussian PAC-Bayes AISTATS 2022
Unifying Importance Based Regularisation Methods for Continual Learning AISTATS 2022
Robust Deep Learning from Crowds with Belief Propagation AISTATS 2022
Uncertainty Quantification for Bayesian Optimization AISTATS 2022
Metalearning Linear Bandits by Prior Update AISTATS 2022
Random Effect Bandits AISTATS 2022
Differentially Private Regression with Unbounded Covariates AISTATS 2022