Research map / Probabilistic and scientific modeling / Molecules and proteins
Learning Hawkes Processes from Short Doubly-Censored Event Sequences
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use sampling-stitching to synthesize longer sequences before learning | Time-invariant Hawkes processes · Synthetic data | log-likelihood | Helped |
| Use sampling-stitching to synthesize longer sequences before learning | Time-invariant Hawkes processes · Synthetic data | relative error | Helped |
| Use sampling-stitching with the Least Squares algorithm | Least Squares Hawkes learning · Synthetic data, time-invariant Hawkes processes | learning results | Helped |
| Use sampling-stitching to synthesize longer sequences before learning | Time-varying Hawkes processes · Synthetic data | log-likelihood | Helped |
| Use sampling-stitching to synthesize longer sequences before learning | Time-varying Hawkes processes · Synthetic data | relative error | Helped |
| Apply sampling-stitching twice instead of once (ablation) | Time-varying Hawkes processes · Synthetic data | learning results | Helped |
| Increase the number of stitches beyond three (ablation) | Sampling-stitching Hawkes learning · Synthetic data, time-varying Hawkes processes | log-likelihood | Hurt |
| Increase the number of stitches beyond three (ablation) | Sampling-stitching Hawkes learning · Synthetic data, time-varying Hawkes processes | relative error | Hurt |
| Use sampling-stitching to synthesize longer sequences before learning | Time-varying Hawkes processes · LinkedIn data | test log-likelihood | Helped |
| Use sampling-stitching instead of the stationary bootstrap | Time-varying Hawkes processes · LinkedIn data | test log-likelihood | Helped |
| Use sampling-stitching to synthesize longer sequences before learning | Time-varying Hawkes processes · MIMIC III | test log-likelihood | Helped |
| Use sampling-stitching instead of the stationary bootstrap | Time-varying Hawkes processes · MIMIC III | test log-likelihood | Helped |
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- The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process (NeurIPS 2017 · similarity 0.88)
- Cumulants of Hawkes Processes are Robust to Observation Noise (ICML 2021 · similarity 0.87)
- Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes (NeurIPS 2026 · similarity 0.86)
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