Differential privacy in policy optimization adds sample complexity costs that often appear as lower-order terms rather than dominating the bounds.
Private stochastic convex optimization: optimal rates in linear time
2 Pith papers cite this work. Polarity classification is still indexing.
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Private variants of individual and unit-level aid allocation admit interpretable bounds trading privacy, efficiency, and targeting precision in stochastic and distribution-free settings.
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On the Sample Complexity of Differentially Private Policy Optimization
Differential privacy in policy optimization adds sample complexity costs that often appear as lower-order terms rather than dominating the bounds.
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Privacy, Prediction, and Allocation
Private variants of individual and unit-level aid allocation admit interpretable bounds trading privacy, efficiency, and targeting precision in stochastic and distribution-free settings.