惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

IT之家
IT之家
The GitHub Blog
The GitHub Blog
F
Fortinet All Blogs
Last Week in AI
Last Week in AI
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
L
LangChain Blog
爱范儿
爱范儿
博客园_首页
Stack Overflow Blog
Stack Overflow Blog
MongoDB | Blog
MongoDB | Blog
博客园 - 三生石上(FineUI控件)
大猫的无限游戏
大猫的无限游戏
宝玉的分享
宝玉的分享
GbyAI
GbyAI
H
Help Net Security
A
About on SuperTechFans
Recent Announcements
Recent Announcements
Hugging Face - Blog
Hugging Face - Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
雷峰网
雷峰网
D
Docker
博客园 - Franky
有赞技术团队
有赞技术团队
G
Google Developers Blog

cs.DS updates on arXiv.org

PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting Algorithms with Polynomially-Improved Approximation Factors for the $2 \rightarrow q$ Norm, and Applications A computational phase transition for learning-to-sample from Ising models Covering vertices by sequential stars Fermi-Dirac machines as quantizations of neurons A Comprehensive Evaluation of Vertex Elimination Algorithms for Algorithmic Differentiation A Tight Bound on Localization of Electrical Flows Optimal Dimension-Free Sampling for Regularized Classification Reducing the Randomness in Partition Oracles for Bounded Degree Minor-Free Graphs Beyond the Half-Approximation: Fair and Efficient Online Class Matching Efficient Uniform Sampling of Surjections via their Profiles Tractable Maximization of Budgeted Phylogenetic Diversity on Networks Utilizing Node Scanwidth Fairness in Aggregation: Optimal Top-$k$ and Improved Full Ranking Learning-Augmented Online Scheduling with Parsimonious Preemption Entropy Equivalence Testing Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees The Secretary Problem with a Stochastic Precursor Polynomial-Time Robust Multiclass Linear Classification under Gaussian Marginals Efficient Banzhaf-Based Data Valuation for $k$-Nearest Neighbors Classification Block-Sphere Vector Quantization An Approximation Algorithm for Graph Label Selection Iterative Chow Filtering for Learning with Distribution Shift Complexity of Non-Log-Concave Sampling in Fisher Information Stochastic Matching via Local Sparsification Finite Sample Bounds for Learning with Score Matching What is Learnable in Valiant's Theory of the Learnable? Provable Quantization with Randomized Hadamard Transform Min-Max Optimization Requires Exponentially Many Queries Fast and Compact Graph Cuts for the Boykov-Kolmogorov Algorithm A proximal gradient algorithm for composite log-concave sampling
An Almost Quadratic Vertex Kernel for Subset Feedback Arc...
Tian Bai · 2025-03-13 · via cs.DS updates on arXiv.org

In the Feedback Arc Set in Tournaments (Subset-FAST) problem, we are given a tournament $D$ and a positive integer $k$, and the objective is to determine whether there exists an arc set $S \subseteq A(D)$ of size at most $k$ whose removal makes the graph acyclic. This problem is well-known to be equivalent to a natural tournament ranking problem, whose task is to rank players in a tournament such that the number of pairs in which the lower-ranked player defeats the higher-ranked player is no more than $k$. Using the PTAS for Subset-FAST [STOC 2007], Bessy et al. [JCSS 2011] present a $(2 + \varepsilon)k$-vertex kernel for this problem, given any fixed $\varepsilon > 0$. A generalization of Subset-FAST, called Subset-FAST, further includes an additional terminal subset $T \subseteq V(D)$ in the input. The goal of Subset-FAST is to determine whether there is an arc set $S \subseteq A(D)$ of size at most $k$ whose removal ensures that no directed cycle passes through any terminal in $T$. Prior to our work, no polynomial kernel for Subset-FAST was known. In our work, we show that Subset-FAST admits an $\mathcal{O}((αk)^{2})$-vertex kernel, provided that Subset-FAST has an approximation algorithm with an approximation ratio $α$. Consequently, based on the known $\mathcal{O}(\log k \log \log k)$-approximation algorithm, we obtain an almost quadratic kernel for Subset-FAST.