Adversarially robust (1+ε)-approximate F_p estimation for all p∈[0,2] in polylog space is achieved via implicit isometric embeddings into Hilbert space and regularized kernel regression, plus a weak equivalence theorem between oblivious sketching and robust streaming.
Theory of Probability & Its Applications , volume=
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Constructs expected-valid upper endpoints for local risk increments Pδ_v via cross-fitted ridge calibration for linear classes and componentwise application to nonsmooth loss decompositions.
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Adversarial Robustness for Small Frequency Moments and a Weak Equivalence Theorem for Turnstile Streams
Adversarially robust (1+ε)-approximate F_p estimation for all p∈[0,2] in polylog space is achieved via implicit isometric embeddings into Hilbert space and regularized kernel regression, plus a weak equivalence theorem between oblivious sketching and robust streaming.
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On Local Population-Risk Certificates
Constructs expected-valid upper endpoints for local risk increments Pδ_v via cross-fitted ridge calibration for linear classes and componentwise application to nonsmooth loss decompositions.