L1 sandwiching suffices for efficient PQ learning via Iterative Chow Filtering, giving quasipolynomial-time algorithms for DNFs under uniform distribution and exponential improvements for circuits and PTFs.
examples from Dtrain and a set Xtest ofO(log(1/δ)/ϵ2) i.i.d
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Iterative Chow Filtering for Learning with Distribution Shift
L1 sandwiching suffices for efficient PQ learning via Iterative Chow Filtering, giving quasipolynomial-time algorithms for DNFs under uniform distribution and exponential improvements for circuits and PTFs.