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Algorithmic fairness in decision-making has been studied extensively in static settings where one-shot decisions are made on tasks such as classification. However, in practice most decision-making processes are of a sequential nature, where…

人工智能 · 计算机科学 2020-01-15 Xueru Zhang , Mingyan Liu

Performing effective preference-based data retrieval requires detailed and preferentially meaningful structurized information about the current user as well as the items under consideration. A common problem is that representations of items…

人工智能 · 计算机科学 2011-01-13 Joachim Selke , Wolf-Tilo Balke

Consideration sets play a crucial role in discrete choice modeling, where customers often form consideration sets in the first stage and then use a second-stage choice mechanism to select the product with the highest utility. While many…

计量经济学 · 经济学 2025-02-21 Yi-Chun Akchen , Dmitry Mitrofanov

Large databases are often organized by hand-labeled metadata, or criteria, which are expensive to collect. We can use unsupervised learning to model database variation, but these models are often high dimensional, complex to parameterize,…

计算机视觉与模式识别 · 计算机科学 2017-06-14 James Tompkin , Kwang In Kim , Hanspeter Pfister , Christian Theobalt

Natural selection can create information. In particular, because of the action of natural selection, we can often learn something about an environment by examining local organisms, and vice versa. For example, the characteristics of a…

种群与进化 · 定量生物学 2025-08-20 Joel R. Peck , David Waxman

This paper formalizes the lattice structure of the ballot voters cast in a ranked-choice election and the preferences that this structure induces. These preferences are shown to be counter to previous assumptions about the preferences of…

理论经济学 · 经济学 2023-01-10 Brian Duricy

Methods for choosing from a set of options are often based on a strict partial order on these options, or on a set of such partial orders. I here provide a very general axiomatic characterisation for choice functions of this form. It…

人工智能 · 计算机科学 2020-04-03 Jasper De Bock

Ranking models are the main components of information retrieval systems. Several approaches to ranking are based on traditional machine learning algorithms using a set of hand-crafted features. Recently, researchers have leveraged deep…

信息检索 · 计算机科学 2021-11-03 Mohamed Trabelsi , Zhiyu Chen , Brian D. Davison , Jeff Heflin

Estimating the dependences between random variables, and ranking them accordingly, is a prevalent problem in machine learning. Pursuing frequentist and information-theoretic approaches, we first show that the p-value and the mutual…

机器学习 · 计算机科学 2012-07-02 Harald Steck

Most natural languages have a predominant or fixed word order. For example in English the word order is usually Subject-Verb-Object. This work attempts to explain this phenomenon as well as other typological findings regarding word order…

计算与语言 · 计算机科学 2021-09-02 Idan Rejwan , Avi Caciularu

One of the virtues of peer review is that it provides a self-regulating selection mechanism for scientific work, papers and projects. Peer review as a selection mechanism is hard to evaluate in terms of its efficiency. Serious efforts to…

物理与社会 · 物理学 2015-05-19 Stefan Thurner , Rudolf Hanel

The problem of selection, storage, search and analysis of information about the state, functioning and interaction of elements of complex hierarchical network systems is considered. The principles of construction of information models of…

物理与社会 · 物理学 2021-06-17 Olexandr Polishchuk , Mykhailo Yadzhak

Organisms and algorithms learn probability distributions from previous observations, either over evolutionary time or on the fly. In the absence of regularities, estimating the underlying distribution from data would require observing each…

统计力学 · 物理学 2024-12-10 William Bialek , Stephanie E. Palmer , David J. Schwab

We describe a seriation algorithm for ranking a set of items given pairwise comparisons between these items. Intuitively, the algorithm assigns similar rankings to items that compare similarly with all others. It does so by constructing a…

机器学习 · 计算机科学 2016-03-11 Fajwel Fogel , Alexandre d'Aspremont , Milan Vojnovic

From this set of procedures for given clause we shall choose only interrogation of experts on pairs decisions. It is widely widespread method. It makes the whole chapter in the theory of the decision-making, well investigated with the…

最优化与控制 · 数学 2010-03-05 V. Zhukovin , N. Chkhikvadze , Z. Alimbarashvili

We study the problem of deriving policies, or rules, that when enacted on a complex system, cause a desired outcome. Absent the ability to perform controlled experiments, such rules have to be inferred from past observations of the system's…

机器学习 · 计算机科学 2020-09-09 Kailash Budhathoki , Mario Boley , Jilles Vreeken

Personalized recommendations have become a common feature of modern online services, including most major e-commerce sites, media platforms and social networks. Today, due to their high practical relevance, research in the area of…

信息检索 · 计算机科学 2023-02-07 Pablo Castells , Dietmar Jannach

Natural selection acts on traits at different scales, often with opposing consequences. This article identifies the particular forces that act at each scale and how those forces combine to determine the overall evolutionary outcome. A…

种群与进化 · 定量生物学 2025-10-30 Steven A. Frank

The widely used Plackett-Luce ranking model assumes that individuals rank items by making repeated choices from a universe of items. But in many cases the universe is too big for people to plausibly consider all options. In the choice…

机器学习 · 计算机科学 2025-05-09 Ben Aoki-Sherwood , Catherine Bregou , David Liben-Nowell , Kiran Tomlinson , Thomas Zeng

Evolution has fascinated quantitative and physical scientists for decades: how can the random process of mutation, recombination, and duplication of genetic information generate the diversity of life? What determines the rate of evolution?…

种群与进化 · 定量生物学 2018-04-23 Richard A. Neher , Aleksandra M. Walczak