Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Variational Gaussian Processes with Decoupled Conditionals
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
- Orthogonally Decoupled Variational Gaussian Processes (NeurIPS 2018 · similarity 0.92)
- New Bounds for Sparse Variational Gaussian Processes (ICML 2025 · similarity 0.92)
- Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited (NeurIPS 2025 · similarity 0.90)
- Robust and Conjugate Gaussian Process Regression (ICML 2024 · similarity 0.89)
- Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project (NeurIPS 2025 · similarity 0.89)
- Scalable Derivative Gaussian Processes via Exact Gradient Reduction (NeurIPS 2026 · similarity 0.88)
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.
