Research map / Probabilistic and scientific modeling / Molecules and proteins
Isotonic Hawkes Processes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace linear Hawkes intensity with isotonic (learned monotonic) link function | Hawkes process for time-sensitive recommendation · last.fm and tmall.com | AvgRank and arrival-time MAE: significant margin | Helped |
| learn nonparametric link function instead of linear intensity | Hawkes process fitting on last.fm and tmall data · QQ-plot goodness of fit | fit to exponential quantiles | Helped |
| learn isotonic link function instead of linear Hawkes intensity | Network diffusion dataset · Network dataset | AvgRank and arrival-time MAE | Helped |
| use moment matching with isotonic-regression-based updates instead of MLE for link learning | synthetic Exp link function · synthetic data | RMSE for parameter w | Helped |
| increase number of training samples from 1,000 to 1,000,000 | Isotonic-Hawkes on synthetic link functions · synthetic Linear, Exp, Sigmoid, Decrease | RMSE of learned link function and parameters w | Helped |
Closest papers by meaning
- Proper Loss Functions for Nonlinear Hawkes Processes (AAAI 2018 · similarity 0.90)
- Hawkes Processes with Stochastic Excitations (ICML 2016 · similarity 0.88)
- The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process (NeurIPS 2017 · similarity 0.88)
- Learning Granger Causality for Hawkes Processes (ICML 2016 · similarity 0.87)
- Learning Hawkes Processes Under Synchronization Noise (ICML 2019 · similarity 0.87)
- Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes (NeurIPS 2026 · similarity 0.85)
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