Research map / Learning theory and algorithms / Sample complexity
Approximating f -Divergences with Rank Statistics
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
- Practical and Consistent Estimation of f-Divergences (NeurIPS 2019 · similarity 0.89)
- Bridging the Gap Between f-divergences and Bayes Hilbert Spaces (ICLR 2025 · similarity 0.87)
- Bounds on $L_p$ Errors in Density Ratio Estimation via $f$-Divergence Loss Functions (ICLR 2025 · similarity 0.86)
- Function-space regularized Rényi divergences (ICLR 2023 · similarity 0.86)
- Statistical and Topological Properties of Sliced Probability Divergences (NeurIPS 2020 · similarity 0.86)
- Robust Diffusion Models via Divergence-Induced Weighted Denoising (NeurIPS 2026 · similarity 0.84)
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.