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20162023
most citedSelf-reducible with easy decision version counting problems admit additive error approximation. Connections to counting complexity, exponential time complexity, and circuit lower bounds

2 citations · 2 across the 6 of their papers we have counts for

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cs.CC2023

On the power of counting the total number of computation paths of NPTMs

Eleni Bakali, Aggeliki Chalki, Sotiris Kanellopoulos +2

In this paper, we define and study variants of several complexity classes of decision problems that are defined via some criteria on the number of accepting paths of an NPTM. In th…

cs.CC2020

Characterizations and approximability of hard counting classes below #P

Eleni Bakali, Aggeliki Chalki, Aris Pagourtzis

An important objective of research in counting complexity is to understand which counting problems are approximable. In this quest, the complexity class TotP, a hard subclass of #P…

cs.CC2018

On randomized counting versus randomised decision

Eleni Bakali

We study the question of which counting problems admit f.p.r.a.s., under a structural complexity perspective. Since problems in #P with NP-complete decision version do not admit f.…

cs.CC2017

Relating counting complexity to non-uniform probability measures

Eleni Bakali

A standard method for designing randomized algorithms to approximately count the number of solutions of a problem in P, is by constructing a rapidly mixing Markov chain converg…

cs.CC2016★ 2 cited

Self-reducible with easy decision version counting problems admit additive error approximation. Connections to counting complexity, exponential time complexity, and circuit lower bounds

Eleni Bakali

We consider the class of counting problems,i.e. functions in P, which are self reducible, and have easy decision version, i.e. for every input it is easy to decide if the value…