What is recorded here?
Fits example-specific surrogate functions to outcomes of models retrained on sampled training subsets, supporting prediction-counterfactual analysis, data relationships and leakage inspection.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Models the distribution induced by a fixed learning algorithm, not one checkpoint’s complete explanation. Linear/L1 surrogates and subset distributions are choices, with substantial retraining cost; empirical correlations do not certify all out-of-distribution subsets. First three authors explicitly equal.
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People and systems
Andrew Ilyas; Sung Min Park; Logan Engstrom; Guillaume Leclerc; Aleksander Mądry
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Datamodels: predicting model outputs from training-subset indicators
Fits example-specific surrogate functions to outcomes of models retrained on sampled training subsets, supporting prediction-counterfactual analysis, data relationships and leakage inspection.
Scientific scope
Models the distribution induced by a fixed learning algorithm, not one checkpoint’s complete explanation. Linear/L1 surrogates and subset distributions are choices, with substantial retraining cost; empirical correlations do not certify all out-of-distribution subsets. First three authors explicitly equal.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Andrew Ilyas; Sung Min Park; Logan Engstrom; Guillaume Leclerc; Aleksander Mądry
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.