Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
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.
Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
Yidi Wu, Thomas Bohnstingl, et al.
ICML 2025
Rama Akkiraju, Pinar Keskinocak, et al.
Applied Intelligence
Benjamin N. Grosof
AAAI-SS 1993