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Structural Causal Bandits with Non-Manipulable Variables

AAAI 2019 · Probabilistic and scientific modeling › Causal discovery · approach: Interventional causal discovery · 24 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add z2ID expressions (POMIS -> POMIS+)TS · Front-door graph, N={Z}cumulative regret: 44.40 -> 29.08Helped
add z2ID expressions (POMIS -> POMIS+)KL-UCB · Front-door graph, N={Z}cumulative regret: 97.52 -> 59.30Helped
add z2ID expressions (POMIS -> POMIS+)TS · Fig. 2a graph, N={A}cumulative regret: 93.53 -> 50.29Helped
add z2ID expressions (POMIS -> POMIS+)KL-UCB · Fig. 2a graph, N={A}cumulative regret: 192.39 -> 74.93Helped
add z2ID expressions (POMIS -> POMIS+)TS · Fig. 5d graph, N={A,C}cumulative regret: 161.54 -> 121.54Helped
add z2ID expressions (POMIS -> POMIS+)KL-UCB · Fig. 5d graph, N={A,C}cumulative regret: 359.40 -> 247.05Helped
restrict arms from brute force to POMISTS · Fig. 5d graph, N={A,C}cumulative regret: 313.39 -> 161.54Helped
restrict arms from brute force to POMISKL-UCB · Fig. 2a graph, N={A}cumulative regret: 328.68 -> 192.39Helped
restrict arms from MIS to POMISTS · Fig. 5d graph, N={A,C}cumulative regret: 212.24 -> 161.54Helped
restrict arms from MIS to POMISTS · Fig. 2a graph, N={A}cumulative regretNo clear effect

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