Research map / Time series / Causal and generative time series

Proper Loss Functions for Nonlinear Hawkes Processes

AAAI 2018 · Time series › Causal and generative time series · approach: Generative temporal point processes · 8 citations (OpenAlex)

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

• Isotonic Hawkes Processes (ICML 2016 · similarity 0.90)
• The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process (NeurIPS 2017 · similarity 0.89)
• Hawkes Process Inference With Missing Data (AAAI 2018 · similarity 0.88)
• Learning Hawkes Processes from Short Doubly-Censored Event Sequences (ICML 2017 · similarity 0.88)
• Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes (NeurIPS 2019 · similarity 0.88)
• Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes (NeurIPS 2026 · similarity 0.88)