Toward Super-Polynomial Size Lower Bounds for Depth-Two Threshold Circuits
Lijie Chen

TL;DR
This paper links faster algorithms for fundamental geometric and algebraic problems to proving super-polynomial lower bounds for depth-two threshold circuits, advancing the understanding of circuit complexity.
Contribution
It demonstrates that slight improvements in algorithms for specific problems imply significant circuit lower bounds, following Williams' framework.
Findings
Faster algorithms for $ extsf{$ extbf{ extit{ extlnot}}$-Furthest-Pair} $ imply $ extsf{NEXP}$ lower bounds.
Approximate $ extsf{Bichrom.-$ extbf{ extit{ extlnot}}$-Closest-Pair} algorithms imply $ extsf{NEXP}$ lower bounds.
Algorithms for Max-IP with small dimension imply circuit lower bounds.
Abstract
Proving super-polynomial size lower bounds for , the class of constant-depth, polynomial-size circuits of Majority gates, is a notorious open problem in complexity theory. A major frontier is to prove that does not have poly-size circuit (depth-two circuits with linear threshold gates). In recent years, R.~Williams proposed a program to prove circuit lower bounds via improved algorithms. In this paper, following Williams' framework, we show that the above frontier question can be resolved by devising slightly faster algorithms for several fundamental problems: 1. Shaving Logs for \textsf{\ell_2-Furthest-Pair}. An time algorithm for \textsf{\ell_2-Furthest-Pair} in for polylogarithmic implies has no polynomial size $\textsf{THR} \circ…
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