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Bayesian Inference

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Papers

Many processors, little time: MCMC for partitions via optimal transport couplings AISTATS 2022
Last Layer Marginal Likelihood for Invariance Learning AISTATS 2022
Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding AISTATS 2022
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models AISTATS 2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes AISTATS 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization AISTATS 2022
Offline Policy Selection under Uncertainty AISTATS 2022
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models AISTATS 2022
Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022
Variational Continual Proxy-Anchor for Deep Metric Learning AISTATS 2022
Pulling back information geometry AISTATS 2022
Variational Gaussian Processes: A Functional Analysis View AISTATS 2022
Predictive variational Bayesian inference as risk-seeking optimization AISTATS 2022
Modelling Non-Smooth Signals with Complex Spectral Structure AISTATS 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data AISTATS 2022
Estimators of Entropy and Information via Inference in Probabilistic Models AISTATS 2022
Orbital MCMC AISTATS 2022
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals AISTATS 2022
Efficient Online Bayesian Inference for Neural Bandits AISTATS 2022
Fast Fourier Transform Reductions for Bayesian Network Inference AISTATS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022
Lifted Division for Lifted Hugin Belief Propagation AISTATS 2022
On the Value of Prior in Online Learning to Rank AISTATS 2022
Doubly Mixed-Effects Gaussian Process Regression AISTATS 2022
Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022