Merve Unuvar, Yurdaer Doganata, et al.
CLOUD 2014
We give a new characterization of NP: the class NP contains exactly those languages L for which membership proofs (a proof that an input x is in L) can be verified probabilistically in polynomial time using logarithmic number of random bits and by reading sublogarithmic number of bits from the proof. We discuss implications of this characterization; specifically, we show that approximating Clique and Independent Set, even in a very weak sense, is NP-hard.
Merve Unuvar, Yurdaer Doganata, et al.
CLOUD 2014
Amarachi Blessing Mbakwe, Joy Wu, et al.
NeurIPS 2023
Vicki L Hanson, Edward H Lichtenstein
Cognitive Psychology
Laura Mismetti, Marvin Alberts, et al.
ACS Fall 2025