Dean Doron: Near-Optimal Pseudorandom Generators for Constant-Depth Read-Once Formulas
Speaker
Dean Doron, UT Austin
Host
Akshay Degwekar, Pritish Kamath and Govind Ramnarayan
MIT CSAIL
Abstract: We give an explicit nearly-optimal pseudorandom generator (PRG) for constant-depth read-once formulas. Previously, PRGs with near-optimal seed length were known only for the depth-2 case by Gopalan et al.. For a constant depth d > 2, the best prior PRG is a recent construction by Forbes and Kelley with seed length O(log^2 n) for the more general model of constant-width read-once branching programs with arbitrary variable order.
Our construction follows Ajtai and Wigderson’s approach of iterated pseudorandom restrictions, and the main technical crux of our work is constructing a suitable pseudorandom restriction generator for constant-depth read-once formulas having a short seed.
Joint work with Pooya Hatami and William Hoza.
Our construction follows Ajtai and Wigderson’s approach of iterated pseudorandom restrictions, and the main technical crux of our work is constructing a suitable pseudorandom restriction generator for constant-depth read-once formulas having a short seed.
Joint work with Pooya Hatami and William Hoza.