Research map / Learning theory and algorithms / Kernels and regression theory
A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
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
- Multivariate Hawkes Processes for Large-Scale Inference (AAAI 2017 · similarity 0.88)
- Online Learning for Multivariate Hawkes Processes (NeurIPS 2017 · similarity 0.88)
- Variational Inference for Sparse Gaussian Process Modulated Hawkes Process (AAAI 2020 · similarity 0.87)
- Uncovering Causality from Multivariate Hawkes Integrated Cumulants (ICML 2017 · similarity 0.86)
- K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes (ICML 2025 · similarity 0.86)
- Kernel Quantile Embeddings and Associated Probability Metrics (ICML 2025 · 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.