Research map / Learning theory and algorithms / Kernels and regression theory
A Kernel-based Test of Independence for Cluster-correlated Data
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
- Statistical Insights into HSIC in High Dimensions (NeurIPS 2023 · similarity 0.92)
- An Adaptive Test of Independence with Analytic Kernel Embeddings (ICML 2017 · similarity 0.87)
- The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels (NeurIPS 2024 · similarity 0.84)
- A Sample Efficient Conditional Independence Test in the Presence of Discretization (ICML 2025 · similarity 0.84)
- On the Hardness of Conditional Independence Testing In Practice (NeurIPS 2025 · similarity 0.83)
- Permutation-Free High-Order Interaction Tests (ICML 2025 · similarity 0.82)
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.