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20172026
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cs.CC2026

On the Approximability of Parameterized Minimum Monotone Satisfying Assignment

Venkatesan Guruswami, Bingkai Lin, Xuandi Ren +1

The parameterized Minimum Monotone Satisfying Assignment (-MMSA) problem asks whether a monotone Boolean circuit admits a satisfying assignment of Hamming weight at most . Th…

cs.CC2026

Tight Lower Bound for Approximating Parametrized Maximum Likelihood Decoding under ETH

Rishav Gupta, Bingkai Lin, Xin Zheng

We present a simple deterministic reduction which, assuming the Exponential Time Hypothesis (), yields tight lower bounds for approximating the parameterized Maximum…

cs.CC2024

Almost Optimal Time Lower Bound for Approximating Parameterized Clique, CSP, and More, under ETH

Venkatesan Guruswami, Bingkai Lin, Xuandi Ren +2

The Parameterized Inapproximability Hypothesis (PIH), which is an analog of the PCP theorem in parameterized complexity, asserts that, there is a constant such tha…

cs.CC2024

Improved Lower Bounds for Approximating Parameterized Nearest Codeword and Related Problems under ETH

Shuangle Li, Bingkai Lin, Yuwei Liu

In this paper we present a new gap-creating randomized self-reduction for parameterized Maximum Likelihood Decoding problem over (-MLD). The reduction takes a…

cs.CC2023

Parameterized Inapproximability Hypothesis under ETH

Venkatesan Guruswami, Bingkai Lin, Xuandi Ren +2

The Parameterized Inapproximability Hypothesis (PIH) asserts that no fixed parameter tractable (FPT) algorithm can distinguish a satisfiable CSP instance, parameterized by the numb…

cs.CC2021

Constant Approximating k-Clique is W[1]-hard

Bingkai Lin

For every graph , let be the largest size of complete subgraph in . This paper presents a simple algorithm which, on input a graph , a positive integer and a sm…