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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
Maximum Balanced Subgraph Problem Parameterized Above Low...
R. Crowston, G. Gutin, M. Jones, G. Muciaccia · 2012-12-31 · via cs.DS updates on arXiv.org

We consider graphs without loops or parallel edges in which every edge is assigned + or -. Such a signed graph is balanced if its vertex set can be partitioned into parts $V_1$ and $V_2$ such that all edges between vertices in the same part have sign + and all edges between vertices of different parts have sign $-$ (one of the parts may be empty). It is well-known that every connected signed graph with $n$ vertices and $m$ edges has a balanced subgraph with at least $\frac{m}{2} + \frac{n-1}{4}$ edges and this bound is tight. We consider the following parameterized problem: given a connected signed graph $G$ with $n$ vertices and $m$ edges, decide whether $G$ has a balanced subgraph with at least $\frac{m}{2} + \frac{n-1}{4}+\frac{k}{4}$ edges, where $k$ is the parameter. We obtain an algorithm for the problem of runtime $8^k(kn)^{O(1)}$. We also prove that for each instance $(G,k)$ of the problem, in polynomial time, we can either solve $(G,k)$ or produce an equivalent instance $(G',k')$ such that $k'\le k$ and $|V(G')|=O(k^3)$. Our first result generalizes a result of Crowston, Jones and Mnich (ICALP 2012) on the corresponding parameterization of Max Cut (when every edge of $G$ has sign $-$). Our second result generalizes and significantly improves the corresponding result of Crowston, Jones and Mnich: they showed that $|V(G')|=O(k^5)$.