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Optimizing Coupon Recommendation Using Multi-Armed Bandit Algorithms [PDF]
ITM Web of ConferencesIn recent years, coupon recommendations have become an essential strategy for e-commerce platforms to attract users and increase transaction volume.
Guo Jun
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Deepening the real options debate: Real options as dynamic optimization
Strategic Management Journal, EarlyView.Abstract Research Summary Is real option theory useful for management research? This topic was hotly debated two decades ago. Real options were said to be inapplicable to management research and to lack conceptual distinctiveness. Whereas responses to the claim about the non‐distinctiveness of real options were disparate, the concern about the theory's
Arkadiy V. Sakhartov +2 more
wiley +1 more source
Selective Reviews of Bandit Problems in AI via a Statistical View
MathematicsReinforcement Learning (RL) is a widely researched area in artificial intelligence that focuses on teaching agents decision-making through interactions with their environment.
Pengjie Zhou, Haoyu Wei, Huiming Zhang
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History, EarlyView.Abstract This article examines the poll tax (Ottoman Turkish cizye; Arabic jizya) levied on non‐Muslim subjects of the Ottoman Empire, not as a fixed, one‐dimensional tax item within the Ottoman fiscal system but as a multi‐layered administrative instrument organized around obligation, exemption and remission.
ÖZLEM BAŞARIR
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Algorithmic Monoculture and Its Critics
Philosophical Perspectives, EarlyView.ABSTRACT Algorithmic decision‐making is replacing idiosyncratic human judgment in domains such as hiring, lending, and criminal justice. This shift promises increased consistency, but many scholars worry that it can go too far. They warn of the dangers of algorithmic monoculture, in which all decisions across a domain are made using a single algorithm.
Brian Hedden, Manish Raghavan
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Computational Modeling of Decision Making Enhances the Adversity Researcher's Toolbox
Topics in Cognitive Science, EarlyView.Abstract Over the past decades, there has been major progress in our understanding of how adversity influences cognitive abilities and strategies. However, most of this research is based on raw performance, such as response times and accuracy. These measures are informative about decision‐making outcomes but tell us little about cognitive processes. In
Stefan Vermeent +2 more
wiley +1 more source
A conversation with James V. Zidek
Canadian Journal of Statistics, Volume 54, Issue 3, September 2026.Abstract This article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges.
Christian Genest, Nancy E. Heckman
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StreamingBandit: Experimenting with Bandit Policies
Journal of Statistical Software, 2020 A large number of statistical decision problems in the social sciences and beyond can be framed as a (contextual) multi-armed bandit problem. However, it is notoriously hard to develop and evaluate policies that tackle these types of problems, and to use
Jules Kruijswijk +3 more
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Pragmatic Two‐Stage Design for Clinical Trials With Treatment Selection
Statistics in Medicine, Volume 45, Issue 18-19, August 2026.ABSTRACT Clinical trials are inherently complex and become more challenging when selecting one treatment from many while also evaluating the efficacy. In this paper, we develop a pragmatic design that balances sample efficiency and practicality through a two‐stage sequential approach.
Paul Horton, Yajun Mei
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Sensors, 2023 In the Internet of Things (IoT), Low-Power Wide-Area Networks (LPWANs) are designed to provide low energy consumption while maintaining a long communications’ range for End Devices (EDs).
Benyamin Teymuri +3 more
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