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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Piecewise Deterministic Markov Processes for Bayesian Neural Networks UAI 2023
Differentiable user models UAI 2023
Massively parallel reweighted wake-sleep UAI 2023
The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference UAI 2023
Diversity-enhanced probabilistic ensemble for uncertainty estimation UAI 2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels UAI 2023
Scalable nonparametric Bayesian learning for dynamic velocity fields UAI 2023
On the role of model uncertainties in Bayesian optimisation UAI 2023
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates UAI 2023
Revisiting Bayesian network learning with small vertex cover UAI 2023
On inference and learning with probabilistic generating circuits UAI 2023
Bayesian inference for vertex-series-parallel partial orders UAI 2023
Optimal Budget Allocation for Crowdsourcing Labels for Graphs UAI 2023
A policy gradient approach for optimization of smooth risk measures UAI 2023
A constrained Bayesian approach to out-of-distribution prediction UAI 2023
Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions MLHC 2023
Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems AISTATS 2023
The Lie-Group Bayesian Learning Rule AISTATS 2023
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets AISTATS 2023
Sparse Graph Learning from Spatiotemporal Time Series JMLR 2023
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics JMLR 2023
Mini-batching error and adaptive Langevin dynamics JMLR 2023
RHINE: Robust and High-performance Internet Naming with E2E Authenticity NSDI 2023
Stein $\Pi$-Importance Sampling NIPS 2023
Variational Gaussian Processes with Decoupled Conditionals NIPS 2023