For every integer k≥ 3, we prove that there is a predicate P on k Boolean variables with 2O(k1/3) accepting assignments that is approximation resistant even on satisfiable instances. That is, given a satisfiable CSP instance with constraint P, we cannot achieve better approximation ratio than simply picking random assignments. This improves the best previously known result by Hastad and Khot where the predicate has 2 O(k1/2) accepting assignments. Our construction is inspired by several recent developments. One is the idea of using direct sums to improve soundness of PCPs, developed by Chan [5]. We also use techniques from Wenner [32] to construct PCPs with perfect completeness without relying on the d-to-1 Conjecture.QC 20130719</p
In this paper we study a fundamental open problem in the area of probabilistic checkable proofs: Wha...
Approximation algorithms have been studied to cope with computationally hard combinatorial problems ...
Many optimization problems can be modeled as constraint satisfaction problems (CSPs). Hence understa...
Abstract: For every integer k ≥ 3, we prove that there is a predicate P on k Boolean vari-ables with...
Constraint satisfaction problems are some of the most well-studied NP-hard problems, 3SAT being a pr...
Håstad established that any predicate P⊆{0,1}m containing Parity of width at least three is approxim...
Håstad established that any predicate P⊆{0,1}m containing Parity of width at least three is approxim...
We study the approximability of predicates on k variables from a domain [q], and give a new sufficie...
A boolean predicate is said to be strongly approximation resistant if, given a near-satisfiable inst...
A Boolean constraint satisfaction problem (CSP) is called approximation resistant if independently s...
Abstract. In this paper, we present a randomized polynomial-time approximation algorithm for MAX k-C...
AbstractWe give a trichotomy theorem for the complexity of approximately counting the number of sati...
Abstract—Motivated by the pervasiveness of strong inap-proximability results for Max-CSPs, we introd...
© 2017 IEEE. We present a new distributed} model of probabilistically checkable proofs (PCP). A sati...
Given a predicate P: {-1, 1}^k ? {-1, 1}, let CSP(P) be the set of constraint satisfaction problems ...
In this paper we study a fundamental open problem in the area of probabilistic checkable proofs: Wha...
Approximation algorithms have been studied to cope with computationally hard combinatorial problems ...
Many optimization problems can be modeled as constraint satisfaction problems (CSPs). Hence understa...
Abstract: For every integer k ≥ 3, we prove that there is a predicate P on k Boolean vari-ables with...
Constraint satisfaction problems are some of the most well-studied NP-hard problems, 3SAT being a pr...
Håstad established that any predicate P⊆{0,1}m containing Parity of width at least three is approxim...
Håstad established that any predicate P⊆{0,1}m containing Parity of width at least three is approxim...
We study the approximability of predicates on k variables from a domain [q], and give a new sufficie...
A boolean predicate is said to be strongly approximation resistant if, given a near-satisfiable inst...
A Boolean constraint satisfaction problem (CSP) is called approximation resistant if independently s...
Abstract. In this paper, we present a randomized polynomial-time approximation algorithm for MAX k-C...
AbstractWe give a trichotomy theorem for the complexity of approximately counting the number of sati...
Abstract—Motivated by the pervasiveness of strong inap-proximability results for Max-CSPs, we introd...
© 2017 IEEE. We present a new distributed} model of probabilistically checkable proofs (PCP). A sati...
Given a predicate P: {-1, 1}^k ? {-1, 1}, let CSP(P) be the set of constraint satisfaction problems ...
In this paper we study a fundamental open problem in the area of probabilistic checkable proofs: Wha...
Approximation algorithms have been studied to cope with computationally hard combinatorial problems ...
Many optimization problems can be modeled as constraint satisfaction problems (CSPs). Hence understa...