AI Paper Atlas

Research map / Probabilistic and scientific modeling / Treatment effects

Bounding Causal Effects on Continuous Outcome

AAAI 2021 · Probabilistic and scientific modeling › Treatment effects · approach: Latent-variable causal inference · 17 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.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add causal bounds estimated from 9650 observational samples to kl-UCBkl-UCB · International Stroke Trialcumulative regret: 38.63 -> 0.07Helped
Use causal bounds estimated from only 300 samples (ablation)kl-UCBc · International Stroke Trialcumulative regret: 38.63 -> 37.94No clear effect
Warm-start kl-UCB with empirical estimates of E[Y∣x,z] (ablation)kl-UCB · International Stroke Trialcumulative regret: 38.63 -> 373.42Hurt
Add empirical causal bounds estimated from 9711 observations to lil’LUCBlil’LUCB · International Stroke Trialstopping time: 6.5 × 10³ -> 4.4 × 10³Helped
Use empirical causal bounds from only 100 observations (ablation)lil’LUCBc · International Stroke Trialstopping time: 6.5 × 10³ -> 6.5 × 10³No clear effect
Warm-start lil’LUCB with estimates of E[Y∣x] (ablation)lil’LUCB · International Stroke Trialstopping time: 6.5 × 10³ -> 8.2 × 10³Hurt
Add causal bounds estimated from 9650 observational samples to D-UCBD-UCB · International Stroke Trialcumulative regret: 111.8 -> 0.07Helped
Use causal bounds from only 300 samples (ablation)D-UCBc · International Stroke Trialcumulative regret: 111.8 -> 110.8No clear effect
Seed D-UCB with samples of confounded observations (ablation)D-UCB · International Stroke Trialcumulative regret: 111.8 -> 153.9Hurt
Clip UCB confidence bounds using valid causal effect boundsUCB-style bandit algorithms · IV and contextual IV banditsasymptotic regret bound: The causal bounds restrict the regret sum to suboptimal arms or policies whose upper causal bound reaches the optimal reHelped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy