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Variational Policy for Guiding Point Processes

ICML 2017 · Time series › Causal and generative time series · approach: Generative temporal point processes · 8 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use variational KL-MPC instead of CE-MPCopinion guiding · Synthetic opinion guidingstate cost: 1798 -> 518Helped
use MPC feedback instead of open-loop control (ablation)KL policy · Synthetic opinion guidingstate cost: 2089 -> 518Helped
use variational KL-MPC instead of CE-MPCsmart broadcasting · Smart broadcasting, Twitteraverage rank: 6.2 -> 1.5Helped
use MPC feedback instead of open-loop control (ablation)KL policy · Smart broadcasting, Twitteraverage rank: 8.9 -> 1.5Helped
use variational KL-MPC instead of CE-MPCsmart broadcasting · Smart broadcasting, Twitter held-out dataprediction accuracy: 0.45 -> 0.78Helped
use MPC feedback instead of open-loop control (ablation)KL policy · Smart broadcasting, Twitter held-out dataprediction accuracy: 0.4 -> 0.78Helped

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