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Paul Milgrom

dblp:41/1728 · also Paul R. Milgrom · DBLP profile ↗
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6ranked-venue papers
2as first author
2since 2021 · last 2022
0000-0002-1919-4138ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 6 · 2 first-author · 2 since 2021Theory of computation · 6 · 2 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
6 papers
Algorithmic game theory and mechanism design · 97% Approximation and online algorithms · 3%
Computer networks
1 paper
Network optimization and economics · 100%

Topics — the 15 heaviest of 16, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design
mechanism design
0.722021
Investment Incentives in Near-Optimal Mechanisms · EC 2021
Adverse Selection and Auction Design for Internet Display Advertising · EC 2015
Algorithmic game theory and mechanism design
market design
0.612022
Linear Pricing Mechanisms for Markets without Convexity · EC 2022
Algorithmic game theory and mechanism design › mechanism design › algorithmic mechanism design
approximation mechanisms
0.512021
Investment Incentives in Near-Optimal Mechanisms · EC 2021
Algorithmic game theory and mechanism design › auction theory › multi-item auctions
spectrum auction
0.522020
Incentive Auction Design Alternatives: A Simulation Study · EC 2020
Deferred-acceptance auctions and radio spectrum reallocation · EC 2014
Algorithmic game theory and mechanism design › auction theory › auction mechanism
reverse auction
0.412020
Incentive Auction Design Alternatives: A Simulation Study · EC 2020
Algorithmic game theory and mechanism design › mechanism design
auction design
0.422015
Adverse Selection and Auction Design for Internet Display Advertising · EC 2015
Deferred-acceptance auctions and radio spectrum reallocation · EC 2014
Algorithmic game theory and mechanism design › mechanism design › contract theory
adverse selection
0.212015
Adverse Selection and Auction Design for Internet Display Advertising · EC 2015
Algorithmic game theory and mechanism design › mechanism design › auction design
display advertising auction
0.212015
Adverse Selection and Auction Design for Internet Display Advertising · EC 2015
Algorithmic game theory and mechanism design › mechanism design
truthful mechanism
0.212015
Adverse Selection and Auction Design for Internet Display Advertising · EC 2015
Algorithmic game theory and mechanism design › auction theory › auction mechanism
deferred-acceptance auction
0.212014
Deferred-acceptance auctions and radio spectrum reallocation · EC 2014
Approximation and online algorithms
approximation algorithms
0.112021
Investment Incentives in Near-Optimal Mechanisms · EC 2021
Network optimization and economics › resource allocation
spectrum allocation
0.112020
Incentive Auction Design Alternatives: A Simulation Study · EC 2020
Algorithmic game theory and mechanism design › auction theory
combinatorial auction
0.012004
Presentation and structure of substitutes valuations · EC 2004
Algorithmic game theory and mechanism design › market design › combinatorial markets
gross substitutes
0.012004
Presentation and structure of substitutes valuations · EC 2004
Algorithmic game theory and mechanism design › social choice › computational social choice › preference representation
valuation functions
0.012004
Presentation and structure of substitutes valuations · EC 2004

Methods — techniques the papers use, named apart from their topics

simulation study · 0.9linear pricing · 0.6strategyproofness analysis · 0.5VCG mechanism · 0.5game theory · 0.2k-satiation · 0.0
YearPublicationVenuePosition
2022 Linear Pricing Mechanisms for Markets without Convexity
abstract
We introduce two linear pricing mechanisms for quasilinear economies in which market-clearing prices may not exist. Electricity markets, fisheries markets, and many others include producers with start-up costs, ramping costs, or other fixed costs that fail the convexity assumptions traditionally used to prove that clearing prices exist.
Paul Milgrom, Mitchell Watt
EC1
2021 Investment Incentives in Near-Optimal Mechanisms
abstract
In many real-world resource allocation problems, optimization is computationally intractable, so any practical allocation mechanism must be based on an approximation algorithm. We study investment incentives in strategy-proof mechanisms that use such approximations. In sharp contrast with the Vickrey-Clark-Groves mechanism, for which individual returns on investments are aligned with social welfare, we find that some algorithms that approximate efficient allocation arbitrarily well can nevertheless create misaligned investment incentives that lead to arbitrarily bad overall outcomes. However, if a near-efficient algorithm "excludes bossy negative externalities," then its outcomes remain near-efficient even after accounting for investments. A weakening of this "XBONE" condition is necessary and sufficient for the result.
Mohammad Akbarpour, Scott Duke Kominers, Shengwu Li, Paul Milgrom
EC4
2020 Incentive Auction Design Alternatives: A Simulation Study
abstract
Over 13 months in 2016-17 the US Federal Communications Commission (FCC) conducted an "incentive auction" to repurpose radio spectrum from broadcast television to wireless internet. The result of the auction was to remove 14 UHF-TV channels from broadcast use, sell 70 MHz of wireless internet licenses for $19.8 billion, and create 14 MHz of spectrum for unlicensed uses. With fewer UHF channels remaining for TV broadcast, the TV spectrum was also reorganized. Each station was either "repacked" in the leftover channels or voluntarily sold its broadcast rights, either going off the air or switching to a different band. The volunteers received a total of $10.05 billion to yield or exchange their rights and make repacking possible.
Neil Newman, Kevin Leyton-Brown, Paul Milgrom, Ilya Segal
EC3
2015 Adverse Selection and Auction Design for Internet Display Advertising
abstract
We model an online display advertising environment with brand advertisers and better-informed performance advertisers, and seek an auction mechanism that is strategy-proof, anonymous and insulates brand advertisers from adverse selection. We find that the only such mechanism that is also false-name proof assigns the item to the highest bidding performance advertiser only when the ratio of the highest bid to the second highest bid is sufficiently large. For fat-tailed match-value distributions, this new mechanism captures most of the gains from good matching and improves match values substantially compared to the common practice of setting aside impressions in advance.
Nick Arnosti, Marissa Beck, Paul Milgrom
EC3
2014 Deferred-acceptance auctions and radio spectrum reallocation
abstract
No abstract available.
Paul Milgrom, Ilya Segal
EC1
2004 Presentation and structure of substitutes valuations
abstract
We propose two different methods for presenting substitutes (a.k.a. gross-substitutes) valuations. Each provides short descriptions for a family of substitutes valuations. We also show that substitutes valuation are closed under k-satiation.
Meir Bing, Daniel Lehmann 0001, Paul Milgrom
EC3