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Related papers: Algorithmic Discrepancy Beyond Partial Coloring

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A well studied special case of bin packing is the 3-partition problem, where n items of size > 1/4 have to be packed in a minimum number of bins of capacity one. The famous Karmarkar-Karp algorithm transforms a fractional solution of a…

Discrete Mathematics · Computer Science 2012-02-03 Friedrich Eisenbrand , Dömötör Pálvölgyi , Thomas Rothvoß

We propose a new proof technique that aims to be applied to the same problems as the Lov\'asz Local Lemma or the entropy-compression method. We present this approach in the context of non-repetitive colorings and we use it to improve…

Combinatorics · Mathematics 2020-06-24 Matthieu Rosenfeld

Detecting transparent objects in natural scenes is challenging due to the low contrast in texture, brightness and colors. Recent deep-learning-based works reveal that it is effective to leverage boundaries for transparent object detection…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Yang Cao , Zhengqiang Zhang , Enze Xie , Qibin Hou , Kai Zhao , Xiangui Luo , Jian Tuo

A well-known theorem of Spencer shows that any set system with $n$ sets over $n$ elements admits a coloring of discrepancy $O(\sqrt{n})$. While the original proof was non-constructive, recent progress brought polynomial time algorithms by…

Discrete Mathematics · Computer Science 2017-03-14 Avi Levy , Harishchandra Ramadas , Thomas Rothvoss

Sorting has a natural generalization where the input consists of: (1) a ground set $X$ of size $n$, (2) a partial oracle $O_P$ specifying some fixed partial order $P$ on $X$ and (3) a linear oracle $O_L$ specifying a linear order $L$ that…

Data Structures and Algorithms · Computer Science 2024-08-01 Ivor van der Hoog , Daniel Rutschmann

The vast majority of real world classification problems are imbalanced, meaning there are far fewer data from the class of interest (the positive class) than from other classes. We propose two machine learning algorithms to handle highly…

Machine Learning · Statistics 2014-06-10 Siong Thye Goh , Cynthia Rudin

In many practical applications the underlying graph must be as equitable colored as possible. A coloring is called equitable if the number of vertices colored with each color differs by at most one, and the least number of colors for which…

Combinatorics · Mathematics 2021-07-01 Emanuel Florentin Olariu , Cristian Frasinaru

For any $\Delta$, let $k_\Delta$ be the maximum integer $k$ such that $(k+1)(k+2)\le \Delta$. We give a distributed \LOCAL algorithm that, given an integer $k < k_\Delta$, computes a valid $\Delta-k$-coloring if one exists. The algorithm…

Data Structures and Algorithms · Computer Science 2026-04-03 Maxime Flin , Magnús M. Halldórsson , Manuel Jakob , Yannic Maus

Low-treedepth colorings are an important tool for algorithms that exploit structure in classes of bounded expansion; they guarantee subgraphs that use few colors have bounded treedepth. These colorings have an implicit tradeoff between the…

Data Structures and Algorithms · Computer Science 2018-07-26 Jeremy Kun , Michael P. O'Brien , Marcin Pilipczuk , Blair D. Sullivan

Image inpainting involves filling in damaged or missing regions of an image by utilizing information from the surrounding areas. In this paper, we investigate a highly nonlinear partial differential equation inspired by the modified…

Analysis of PDEs · Mathematics 2024-10-29 Darko Mitrovic , Andrej Novak

The main goal of this paper is to formalize and explore a connection between chromatic properties of graphs with geometric representations and competitive analysis of on-line algorithms, which became apparent after the recent construction…

Data Structures and Algorithms · Computer Science 2016-12-30 Tomasz Krawczyk , Bartosz Walczak

Deep optics has emerged as a promising approach by co-designing optical elements with deep learning algorithms. However, current research typically overlooks the analysis and optimization of manufacturing and assembly tolerances. This…

Computer Vision and Pattern Recognition · Computer Science 2025-02-10 Jun Dai , Liqun Chen , Xinge Yang , Yuyao Hu , Jinwei Gu , Tianfan Xue

Given a family $\mathcal{B}$ of axis-parallel boxes in $\mathbb{R}^d$, let $\tau$ denote its piercing number, and $\nu$ its independence number. It is an old question whether $\tau/\nu$ can be arbitrarily large for given $d\geq 2$. Here,…

Combinatorics · Mathematics 2022-10-12 István Tomon

We present a deterministic distributed algorithm, in the LOCAL model, that computes a $(1+o(1))\Delta$-edge-coloring in polylogarithmic-time, so long as the maximum degree $\Delta=\tilde{\Omega}(\log n)$. For smaller $\Delta$, we give a…

Data Structures and Algorithms · Computer Science 2017-11-16 Mohsen Ghaffari , Fabian Kuhn , Yannic Maus , Jara Uitto

The $\gamma_2$ norm of a real $m\times n$ matrix $A$ is the minimum number $t$ such that the column vectors of $A$ are contained in a $0$-centered ellipsoid $E\subseteq\mathbb{R}^m$ which in turn is contained in the hypercube $[-t, t]^m$.…

Combinatorics · Mathematics 2015-04-13 Jiri Matousek , Aleksandar Nikolov , Kunal Talwar

This paper addresses a quadratic problem with assignment constraints, an NP-hard combinatorial optimization problem arisen from facility location, multiple-input multiple-output detection, and maximum mean discrepancy calculation et al. The…

Optimization and Control · Mathematics 2025-12-15 Lijun Xie , Ran Gu , Xin Liu

We introduce a general approach for solving partition problems where the goal is to represent a given set as a union (either disjoint or not) of subsets satisfying certain properties. Many NP-hard problems can be naturally stated as such…

Data Structures and Algorithms · Computer Science 2014-10-13 Alexander Golovnev , Alexander S. Kulikov , Ivan Mihajlin

Vertex coloring is one of the classic symmetry breaking problems studied in distributed computing. In this paper we present a new algorithm for $(\Delta+1)$-list coloring in the randomized ${\sf LOCAL}$ model running in…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-13 Yi-Jun Chang , Wenzheng Li , Seth Pettie

Sorting is one of the most basic primitives in many algorithms and data analysis tasks. Comparison-based sorting algorithms, like quick-sort and merge-sort, are known to be optimal when the outcome of each comparison is error-free. However,…

Data Structures and Algorithms · Computer Science 2025-05-06 Ragesh Jaiswal , Amit Kumar , Jatin Yadav

The {\em acyclic chromatic number} of a graph is the least number of colors needed to properly color its vertices so that none of its cycles has only two colors. The {\em acyclic chromatic index} is the analogous graph parameter for edge…

Combinatorics · Mathematics 2024-10-15 Lefteris Kirousis , John Livieratos