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Research map / Learning theory and algorithms / Sample complexity

Statistical Estimation from Dependent Data

ICML 2021 · Learning theory and algorithms › Sample complexity · approach: Minimax estimation rates · 0 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add label-dependency modeling with β instead of setting β = 0 (ablation)MPLE on Cora · Cora sparse-dataaccuracy: 60\pm0.4\% -> 65.8\pm 0.09\%Helped
Add label-dependency modeling with β instead of setting β = 0 (ablation)MPLE on Citeseer · Citeseer sparse-dataaccuracy: 60.2\pm 0.3\% -> 60.9\pm 0.7\%Helped
Add label-dependency modeling with β instead of setting β = 0 (ablation)MPLE on Pubmed · Pubmed sparse-dataaccuracy: 73.3\pm 0.2\% -> 73.3\pm 0.2\%No clear effect
Add label-dependency modeling with β instead of setting β = 0 (ablation)MPLE on Cora · Cora full-supervisedaccuracy: 74.5\pm 1.8 -> \textbf{85.3}\pm 1.7Helped
Use MPLE-β rather than GCNII-InCora · Cora full-supervisedaccuracy: \textbf{85.3}\pm 1.3 -> \textbf{85.3}\pm 1.7No clear effect
Add label-dependency modeling with β instead of setting β = 0 (ablation)MPLE on Citeseer · Citeseer full-supervisedaccuracy: 72.3\pm1.7 -> \textbf{76.3}\pm1.0Helped
Use MPLE-β rather than GCNII-InCiteseer · Citeseer full-supervisedaccuracy: 68.6 \pm 0.3 -> \textbf{76.3}\pm1.0Helped
Add label-dependency modeling with β instead of setting β = 0 (ablation)MPLE on Pubmed · Pubmed full-supervisedaccuracy: 87.3\pm 0.2 -> \textbf{89.0}\pm 0.2Helped
Use MPLE-β rather than GCNII-InPubmed · Pubmed full-supervisedaccuracy: 83.3 \pm 0.6 -> \textbf{89.0}\pm 0.2Helped
Increase training data while modeling label dependenciesMPLE-β versus MPLE-0 · Cora, Citeseer, and Pubmed increasing-training-data experimentsaccuracyHelped

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