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Author: Thomas Nedelec
Publisher:
ISBN: 9781680839388
Category :
Languages : en
Pages : 170
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Book Description
Online auctions are one of the most fundamental facets of the modern economy and power an industry generating hundreds of billions of dollars a year in revenue. Online auction theory has historically focused on the question of designing the best way to sell a single item to potential buyers relying on some prior knowledge agents were assumed to have on each other. In new markets, such as online advertising, however, similar items are sold repeatedly, and agents are unaware of each other or might try to manipulate each other, making the assumption invalid. Statistical learning theory now provides tools to supplement those missing pieces of information given enough data, as agents can learn from their environment to improve their strategies. This book is a comprehensive introduction to the learning techniques in repeated auctions. It covers everything from the traditional economic study of optimal one-shot auctions, through learning optimal mechanisms from a dataset of bidders' past values, to showing how strategic agents can actually manipulate repeated auctions to their own advantage. The authors explore the effects of different scenarios and assumptions throughout while remaining grounded in real-world applications. Many of the ideas and algorithms described are used every day to power the Internet economy. This book provides students, researchers and practitioners with a deep understanding of the theory of online auctions and gives practical examples of how to implement in modern-day internet systems.
Author: Thomas Nedelec
Publisher:
ISBN: 9781680839388
Category :
Languages : en
Pages : 170
Get Book Here
Book Description
Online auctions are one of the most fundamental facets of the modern economy and power an industry generating hundreds of billions of dollars a year in revenue. Online auction theory has historically focused on the question of designing the best way to sell a single item to potential buyers relying on some prior knowledge agents were assumed to have on each other. In new markets, such as online advertising, however, similar items are sold repeatedly, and agents are unaware of each other or might try to manipulate each other, making the assumption invalid. Statistical learning theory now provides tools to supplement those missing pieces of information given enough data, as agents can learn from their environment to improve their strategies. This book is a comprehensive introduction to the learning techniques in repeated auctions. It covers everything from the traditional economic study of optimal one-shot auctions, through learning optimal mechanisms from a dataset of bidders' past values, to showing how strategic agents can actually manipulate repeated auctions to their own advantage. The authors explore the effects of different scenarios and assumptions throughout while remaining grounded in real-world applications. Many of the ideas and algorithms described are used every day to power the Internet economy. This book provides students, researchers and practitioners with a deep understanding of the theory of online auctions and gives practical examples of how to implement in modern-day internet systems.
Author: Paul Milgrom
Publisher: Cambridge University Press
ISBN: 1139449168
Category : Business & Economics
Languages : en
Pages : 378
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Book Description
This book provides a comprehensive introduction to modern auction theory and its important new applications. It is written by a leading economic theorist whose suggestions guided the creation of the new spectrum auction designs. Aimed at graduate students and professionals in economics, the book gives the most up-to-date treatments of both traditional theories of 'optimal auctions' and newer theories of multi-unit auctions and package auctions, and shows by example how these theories are used. The analysis explores the limitations of prominent older designs, such as the Vickrey auction design, and evaluates the practical responses to those limitations. It explores the tension between the traditional theory of auctions with a fixed set of bidders, in which the seller seeks to squeeze as much revenue as possible from the fixed set, and the theory of auctions with endogenous entry, in which bidder profits must be respected to encourage participation.
Author: Paul Klemperer
Publisher: Princeton University Press
ISBN: 0691119252
Category : Business & Economics
Languages : en
Pages : 262
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Book Description
Governments use them to sell everything from oilfields to pollution permits, and to privatize companies; consumers rely on them to buy baseball tickets and hotel rooms, and economic theorists employ them to explain booms and busts. Auctions make up many of the world's most important markets; and this book describes how auction theory has also become an invaluable tool for understanding economics. Auctions: Theory and Practice provides a non-technical introduction to auction theory, and emphasises its practical application. Although there are many extremely successful auction markets, there have also been some notable fiascos, and Klemperer provides many examples. He discusses the successes and failures of the one-hundred-billion dollar "third-generation" mobile-phone license auctions; he, jointly with Ken Binmore, designed the first of these. Klemperer also demonstrates the surprising power of auction theory to explain seemingly unconnected issues such as the intensity of different forms of industrial competition, the costs of litigation, and even stock trading 'frenzies' and financial crashes. Engagingly written, the book makes the subject exciting not only to economics students but to anyone interested in auctions and their role in economics.
Author: Gregor Berz
Publisher: Springer
ISBN: 1137475420
Category : Business & Economics
Languages : en
Pages : 202
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Book Description
This text bridges the gulf between theoretical economic principles of negotiation and auction theory and their multifaceted applications in actual practice. It is intended to be a supplement to the already existing literature, as a comprehensive collection of reports detailing experiences and results of very different negotiations and auctions.
Author: Albert Bifet
Publisher: Springer Nature
ISBN: 3031703812
Category :
Languages : en
Pages : 517
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Book Description
Author: Peter C. Cramton
Publisher: MIT Press (MA)
ISBN:
Category : Business & Economics
Languages : en
Pages : 678
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Book Description
A synthesis of theoretical and practical research on combinatorial auctions from the perspectives of economics, operations research, and computer science.
Author: Stefan Tobias Trautmann
Publisher: Rozenberg Publishers
ISBN: 9036100917
Category :
Languages : en
Pages : 199
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Book Description
In most decisions we have to choose between options that involve some uncertainty about their outcomes and their effect on our well-being. Casual observation and carefully controlled studies suggest that, in making these decisions, we often deviate from the benchmark of expected income maximization. This should not come as a surprise. Our well-being is affected by many factors, and the outside observer does not know the importance of various dimensions of the outcome to the decision maker. Even if goals are well defined, it is far from obvious that we succeed in choosing what is best for us. The psychological literature has shown deviations from optimal behavior in simple decision tasks, and we may expect similar deviations to occur in more complex real life problems. In real life situations, however, experience and market interaction will help to restrain suboptimal behavior. This thesis examines deviations from expected income maximization in situations involving uncertainty. We focus on deviations generated by social factors.
Author: Thomas Lux
Publisher: Springer Science & Business Media
ISBN: 3540272968
Category : Business & Economics
Languages : en
Pages : 326
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Book Description
Economic application of nonlinear dynamics, microscopic agent-based modelling, and the use of artificial intelligence techniques as learning devices of boundedly rational actors are among the most exciting interdisciplinary ventures of economic theory over the past decade. This volume provides us with a most fascinating series of examples on "complexity in action" exemplifying the scope and explanatory power of these innovative approaches.
Author: Frank Hutter
Publisher: Springer Nature
ISBN: 3030676617
Category : Computers
Languages : en
Pages : 770
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Book Description
The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
Author: Dirk Helbing
Publisher: Springer
ISBN: 3540752617
Category : Business & Economics
Languages : en
Pages : 392
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Book Description
The essays and lectures collected in this book center around knowledge transfer from the complex-system sciences to applications in business, industry and society, as viewed from a broad perspective. The contributions aim to raise awareness across the spectrum to meet the increasing need to integrate lessons from complexity research into everyday planning, decision making, logistics or optimization procedures and forecasting. The writing has been largely kept non-technical.
