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Related papers: Robin Milner's Work on Concurrency: An Appreciatio…

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Scholarly article impact reflects the significance of academic output recognised by academic peers, and it often plays a crucial role in assessing the scientific achievements of researchers, teams, institutions and countries. It is also…

Digital Libraries · Computer Science 2020-08-11 Xiaomei Bai , Hui Liu , Fuli Zhang , Zhaolong Ning , Xiangjie Kong , Ivan Lee , Feng Xia

This is a short review on the applications of Lieb-Robinson bounds for a general readership of mathematical physicists.

Mathematical Physics · Physics 2011-02-07 Bruno Nachtergaele , Robert Sims

We design a calculus for true concurrency called CTC, including its syntax and operational semantics. CTC has good properties modulo several kinds of strongly truly concurrent bisimulations and weakly truly concurrent bisimulations, such as…

Logic in Computer Science · Computer Science 2020-04-24 Yong Wang

Rejoinder: Classifier Technology and the Illusion of Progress [math.ST/0606441]

Statistics Theory · Mathematics 2007-06-13 David J. Hand

This is an introductory article to the theory of multiple gaps.

Logic · Mathematics 2014-06-26 Antonio Avilés

This is a comment on a recent review article about reputation and reciprocity as mechanisms promoting cooperation. I also discuss the necessary changes for the currently game-theory-based cooperation studies to become a complete theory of…

Physics and Society · Physics 2023-07-19 Petter Holme

This is a report on the work of Robert Langlands, following his award of the Abel Prize in 2018. It includes his contributions to the general areas of Representation Theory, Automorphic Forms, Number Theory and Arithmetic Geometry. We have…

Representation Theory · Mathematics 2023-07-07 James G. Arthur

This papers consists of two parts. The first is a critical review of prior art on adversarial learning, identifying some significant limitations of previous works. The second part is an experimental study considering adversarial active…

Cryptography and Security · Computer Science 2017-05-30 David J. Miller , Xinyi Hu , Zhicong Qiu , George Kesidis

This talk presents a short review of David Brink's most important achievements and of my own experience working with him.

Nuclear Theory · Physics 2007-05-23 Angela Bonaccorso

A project (e.g., writing a collaborative research paper) is often a group effort. At the end, each contributor identifies their contribution, often verbally. The reward, however, is very frequently financial. It leads to the question of…

Discrete Mathematics · Computer Science 2026-03-09 Konrad Kułakowski , Jacek Szybowski

Several questions of scientometrics parameters organization are considered. Two new indices for scientific works citation analysis are proposed. They provide more detailed and reliable scientific significance assessment of individual…

Digital Libraries · Computer Science 2014-02-17 Alexander S. Kholodov

We present a systematic approach for achieving fairness in a binary classification setting. While we focus on two well-known quantitative definitions of fairness, our approach encompasses many other previously studied definitions as special…

Machine Learning · Computer Science 2018-07-17 Alekh Agarwal , Alina Beygelzimer , Miroslav Dudík , John Langford , Hanna Wallach

This paper provides the reader with a very brief introduction to some of the theory and methods of text data mining. The intent of this article is to introduce the reader to some of the current methodologies that are employed within this…

Machine Learning · Statistics 2008-07-17 Jeffrey Solka

Classification is an important goal in many branches of mathematics. The idea is to describe the members of some class of mathematical objects, up to isomorphism or other important equivalence in terms of relatively simple invariants. Where…

Logic · Mathematics 2008-03-25 Wesley Calvert , Julia F. Knight

This paper describes a generalizable model evaluation method that can be adapted to evaluate AI/ML models across multiple criteria including core scientific principles and more practical outcomes. Emerging from prediction competitions in…

Machine Learning · Computer Science 2024-03-19 Jason L. Harman , Jaelle Scheuerman

Contraction theory is a mathematical framework for studying the convergence, robustness, and modularity properties of dynamical systems and algorithms. In this opinion paper, we provide five main opinions on the virtues of contraction…

Systems and Control · Electrical Eng. & Systems 2025-07-24 Alexander Davydov , Francesco Bullo

Professor Alan Selman has been a giant in the field of computational complexity for the past forty years. This article is an appreciation, on the occasion of his retirement, of some of the most lovely concepts and results that Alan has…

Computational Complexity · Computer Science 2014-06-18 Lane A. Hemaspaandra

We motivate why the science of learning to reject model predictions is central to ML, and why human computation has a lead role in this effort.

Machine Learning · Computer Science 2021-11-15 Burcu Sayin , Jie Yang , Andrea Passerini , Fabio Casati

In this chapter, concepts related to information and computation are reviewed in the context of human computation. A brief introduction to information theory and different types of computation is given. Two examples of human computation…

Information Theory · Computer Science 2013-05-27 Carlos Gershenson

Machine learning models play a key role for service providers looking to gain market share in consumer markets. However, traditional learning approaches do not take into account the existence of additional providers, who compete with each…

Machine Learning · Computer Science 2025-08-15 Ohad Einav , Nir Rosenfeld
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