Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Structured Variational Inference in Continuous Cox Process Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use structured variational inference (STVB) rather than MFVB | Continuous sigmoidal Cox process inference · λ1 synthetic, out-of-sample 50% CI | EC: 0.52 -> 0.60 | Helped |
| Use structured variational inference (STVB) rather than MFVB | Continuous sigmoidal Cox process inference · λ2 synthetic, out-of-sample 50% CI | EC: 0.82 -> 0.86 | Helped |
| Use structured variational inference (STVB) rather than MFVB | Continuous sigmoidal Cox process inference · λ3 synthetic, out-of-sample 50% CI | EC: 0.95 -> 0.92 | Hurt |
| Use structured variational inference (STVB) rather than MFVB | Continuous sigmoidal Cox process inference · Taxi data, out-of-sample 10% CI | EC: 0.93 -> 1.00 | Helped |
| Use structured variational inference (STVB) rather than MFVB | Continuous sigmoidal Cox process inference · λ3 synthetic, out-of-sample 10% CI | EC: 1.00 -> 1.00 | No clear effect |
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