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20202026
most citedMulticlass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes

2 citations · 6 across the 31 of their papers we have counts for

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math.ST2025★ 1 cited

What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness

Yang Cai, Alkis Kalavasis, Katerina Mamali +2

Most of the widely used estimators of the average treatment effect (ATE) in causal inference rely on the assumptions of unconfoundedness and overlap. Unconfoundedness requires that…