Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Dangers of Bayesian Model Averaging under Covariate Shift
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Quantifying Uncertainty in the Presence of Distribution Shifts (NeurIPS 2025 · similarity 0.91)
- Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift (ICML 2020 · similarity 0.90)
- Tackling covariate shift with node-based Bayesian neural networks (ICML 2022 · similarity 0.89)
- Do Bayesian Neural Networks Actually Behave Like Bayesian Models? (ICML 2025 · similarity 0.86)
- Not all distributional shifts are equal: Fine-grained robust conformal inference (ICML 2024 · similarity 0.85)
- A Study of Bayesian Neural Network Surrogates for Bayesian Optimization (ICLR 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.