activity
20222026
most citedA simple polynomial-time approximation algorithm for the total variation distance between two product distributions

2 citations · 2 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CC2026

Approximate counting of vertices of 0/1 polytopes: a stronger hardness result

Heng Guo, Mark Jerrum

We show that approximately counting the vertices of a bounded 0/1 polytope, presented as a system of rational linear inequalities, is, informally speaking, NP-hard. In particular,…

cs.DS2026

Approximating two-terminal network reliability

Weiming Feng, Yucheng Fu, Heng Guo

We present a fully polynomial-time randomised approximation scheme (FPRAS) for the two-terminal reliability problem on general graphs, both directed and undirected. We also show th…

cs.DS2026

Linear time approximation of the TV distance between product distributions

Konrad Anand, Alistair Benford, Heng Guo

We present a linear time approximation algorithm of the total variation distance between two product distributions. The main algorithm was found using ChatGPT 5.6 Sol Ultra.

cs.DS2025

Sink-free orientations: a local sampler with applications

Konrad Anand, Graham Freifeld, Heng Guo +2

For sink-free orientations in graphs of minimum degree at least , we show that there is a deterministic approximate counting algorithm that runs in time $O((n^{73}/\varepsilon^{…

math.PR2024

Rapid mixing of the flip chain over non-crossing spanning trees

Konrad Anand, Weiming Feng, Graham Freifeld +3

We show that the flip chain for non-crossing spanning trees of points in convex position mixes in time . We use connections between Fuss-Catalan structures to c…

cs.DS2023

An FPRAS for two terminal reliability in directed acyclic graphs

Weiming Feng, Heng Guo

We give a fully polynomial-time randomized approximation scheme (FPRAS) for two terminal reliability in directed acyclic graphs (DAGs). In contrast, we also show the complementing…

cs.DS2022★ 2 cited

A simple polynomial-time approximation algorithm for the total variation distance between two product distributions

Weiming Feng, Heng Guo, Mark Jerrum +1

We give a simple polynomial-time approximation algorithm for the total variation distance between two product distributions.