Unverified50% confidenceFactExact time
The new algorithm constructs special moduli to perform exact multiplication at smaller lengths, optimizing the zero-padding step in traditional FFT multiplication.
1
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50%
Confidence
Long-term
Relevance
10/22/2026
First Seen
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Related Claims
UnverifiedThe algorithm only needs the confidence width to shrink at a rate of 1/√t, and after accumulating the squares, a logarithmic regret is obtained.72% similarUnverifiedFor suitably highly structured sequences, the new algorithm runs in quasi-linear time and requires only polylogarithmic space.69% similarUnverifiedIn the non-convex, high-dimensional, small-accuracy regime, the reasonable goal for zeroth-order algorithms is linear in d and close to ε^{-4} in accuracy, rather than pursuing sublinear dimension.67% similarUnverifiedThe moments of the truncated Gaussian distribution have no closed-form analytical expression and are typically computed using methods such as quasi-Monte Carlo sampling, the Mini-max tilting algorithm, or variational approximations.67% similarUnverifiedThis framework employs doubly stochastic optimization combined with a reduced ancestor set strategy, bringing the computational complexity per iteration down to polylogarithmic scale.67% similar
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