Manolis Zampetakis
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226
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Stats ML×2ML×2Stats Theory×2AI×1Algorithms×1
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2026
Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion
The paper proposes a novel, computationally efficient estimator for estimating heterogeneous treatment effects in panel data by framing the problem as matrix completion and establishing a sharp row-wise $\ell_2$ error bound.
Surprises in Proper Positive-Only Learning
This paper characterizes proper binary classification from positive-only samples, revealing a rich landscape that differs from standard PAC learning.
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