activity
20232025
most citedOn Inapproximability of Reconfiguration Problems: PSPACE-Hardness and some Tight NP-Hardness Results

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CC2025

PCPP-Based Reconfiguration Inapproximability: Query Complexity vs. Soundness Gap Trade-offs

Venkatesan Guruswami, Xuandi Ren, Kewen Wu

The Reconfiguration Inapproximability Hypothesis (RIH), recently established by Hirahara-Ohsaka (STOC'24) and Karthik-Manurangsi (ECCC'24), studies the hardness of reconfiguring on…

cs.CC2024

Locally Sampleable Uniform Symmetric Distributions

Daniel M. Kane, Anthony Ostuni, Kewen Wu

We characterize the power of constant-depth Boolean circuits in generating uniform symmetric distributions. Let be a Boolean function where each outp…

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

Locality Bounds for Sampling Hamming Slices

Daniel M. Kane, Anthony Ostuni, Kewen Wu

Spurred by the influential work of Viola (Journal of Computing 2012), the past decade has witnessed an active line of research into the complexity of (approximately) sampling distr…

quant-ph2023★ 1 cited

The Power of Adaptivity in Quantum Query Algorithms

Uma Girish, Makrand Sinha, Avishay Tal +1

Motivated by limitations on the depth of near-term quantum devices, we study the depth-computation trade-off in the query model, where the depth corresponds to the number of adapti…

cs.CC2023★ 2 cited

On Inapproximability of Reconfiguration Problems: PSPACE-Hardness and some Tight NP-Hardness Results

Venkatesan Guruswami, Karthik C. S., Pasin Manurangsi +2

Recently, Ohsaka [STACS'23] put forth the Reconfiguration Inapproximability Hypothesis (RIH), which roughly asserts that there is some such that given as input a -CSP inst…

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…