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Collaborative bandit learning, i.e., bandit algorithms that utilize collaborative filtering techniques to improve sample efficiency in online interactive recommendation, has attracted much research attention as it enjoys the best of both…

机器学习 · 计算机科学 2021-04-16 Chuanhao Li , Qingyun Wu , Hongning Wang

In this paper, I introduce a profit-maximizing centralized marketplace into a decentralized market with search frictions. Agents choose between the centralized marketplace and the decentralized bilateral trade. I characterize the optimal…

理论经济学 · 经济学 2021-11-29 Berk Idem

Two-sided matching markets describe a large class of problems wherein participants from one side of the market must be matched to those from the other side according to their preferences. In many real-world applications (e.g. content…

计算机科学与博弈论 · 计算机科学 2024-10-16 Hadi Hosseini , Sanjukta Roy , Duohan Zhang

We consider the scenario where $N$ utilities strategically bid for electricity in the day-ahead market and balance the mismatch between the committed supply and actual demand in the real-time market, with uncertainty in demand and local…

系统与控制 · 电气工程与系统科学 2021-09-15 Tianyu Zhao , Hanling Yi , Minghua Chen , Chenye Wu , Yunjian Xu

Competition is a main tenet of economics, and the reason is that a perfectly competitive equilibrium is Pareto-efficient in the absence of externalities and public goods. Whether a product is selected in a market crucially relates to its…

经济学 · 定量金融 2015-12-09 Su Do Yi , Seung Ki Baek , Guillaume Chevereau , Eric Bertin

Two-sided matching markets, environments in which two disjoint groups of agents seek to partner with one another, arise in several contexts. In static, centralized markets where agents know their preferences, standard algorithms can yield a…

计算机科学与博弈论 · 计算机科学 2025-04-08 Vade Shah , Bryce L. Ferguson , Jason R. Marden

Matching markets are of particular interest in computer science and economics literature as they are often used to model real-world phenomena where we aim to equitably distribute a limited amount of resources to multiple agents and…

计算机科学与博弈论 · 计算机科学 2021-10-01 Andrew Yang , Bruce Changlong Xu , Ivan Villa-Renteria

Online platforms have a wealth of data, run countless experiments and use industrial-scale algorithms to optimize user experience. Despite this, many users seem to regret the time they spend on these platforms. One possible explanation is…

社会与信息网络 · 计算机科学 2023-10-24 Jon Kleinberg , Sendhil Mullainathan , Manish Raghavan

Online platforms often have conflicting goals: they face tradeoffs between increasing efficiency and reducing disparities, where the latter may relate to objectives such as the longer-term health of the marketplace or the organization's…

综合经济学 · 经济学 2025-03-05 Susan Athey , Dean Karlan , Emil Palikot , Yuan Yuan

We study competitive equilibria in the classic Shapley-Shubik assignment model with indivisible goods and unit-demand buyers, with budget constraints: buyers can specify a maximum price they are willing to pay for each item, beyond which…

计算机科学与博弈论 · 计算机科学 2010-04-19 Ning Chen , Xiaotie Deng , Arpita Ghosh

We explore a model of duopolistic competition in which consumers learn about the fit of each competitor's product. In equilibrium, consumers comparison shop: they learn only about the relative values of the products. When information is…

理论经济学 · 经济学 2023-04-18 Brian C. Albrecht , Mark Whitmeyer

Despite the potential of online sharing economy platforms such as Uber, Lyft, or Foodora to democratize the labor market, these services are often accused of fostering unfair working conditions and low wages. These problems have been…

物理与社会 · 物理学 2020-09-01 Eszter Bokányi , Anikó Hannák

We present a model of digital advertising with three key features: (i) advertisers can reach consumers on and off a platform, (ii) additional data enhances the value of advertiser-consumer matches, and (iii) bidding follows auction-like…

理论经济学 · 经济学 2024-04-25 Dirk Bergemann , Alessandro Bonatti , Nicholas Wu

In many two-sided markets, the parties to be matched have incomplete information about their characteristics. We consider the settings where the parties engaged are extremely patient and are interested in long-term partnerships. Hence, once…

计算机科学与博弈论 · 计算机科学 2019-08-30 Kartik Ahuja , Mihaela van der Schaar

As AI agents increasingly act on behalf of human stakeholders in economic settings, understanding their behavior in complex market environments becomes critical. This article examines how Large Language Models coordinate on markets that are…

综合经济学 · 经济学 2026-03-11 Alexander Erlei , Lukas Meub

We study the price competition in a duopoly with an arbitrary number of buyers. Each seller can offer multiple units of a commodity depending on the availability of the commodity which is random and may be different for different sellers.…

计算机科学与博弈论 · 计算机科学 2016-11-15 Mohammad Hassan Lotfi , Saswati Sarkar

Technological advancement has lead to an increase in number and type of trading venues and diversification of goods traded. These changes have re-emphasized the importance of understanding the effects of market competition: does…

交易与市场微观结构 · 定量金融 2021-08-24 Robin Nicole , Aleksandra Alorić , Peter Sollich

In many markets, like electricity or cloud computing markets, providers incur large costs for keeping sufficient capacity in reserve to accommodate demand fluctuations of a mostly fixed user base. These costs are significantly affected by…

计算机科学与博弈论 · 计算机科学 2020-04-07 Ludwig Dierks , Sven Seuken

We study a competitive electricity market equilibrium with two trading stages, day-ahead and real-time. The welfare of each market agent is exposed to uncertainty (here from renewable energy production), while agent information on the…

最优化与控制 · 数学 2021-02-03 Vladimir Dvorkin , Jalal Kazempour , Pierre Pinson

With the advent of social media, different companies often promote competing products simultaneously for word-of-mouth diffusion and adoption by users in social networks. For such scenarios of competitive diffusion, prior studies show that…

社会与信息网络 · 计算机科学 2019-11-14 Jun Zhao , Junshan Zhang