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DAGSTUHL
2007
13 years 11 months ago
Incentive Compatible Regression Learning
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...
Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
SIGECOM
2000
ACM
175views ECommerce» more  SIGECOM 2000»
14 years 2 months ago
Competitive analysis of incentive compatible on-line auctions
This paper studies auctions in a setting where the di erent bidders arrive at di erent times and the auction mechanism is required to make decisions about each bid as it is receiv...
Ron Lavi, Noam Nisan
JSAC
2008
114views more  JSAC 2008»
13 years 9 months ago
Design of an Optimal Bayesian Incentive Compatible Broadcast Protocol for Ad Hoc Networks with Rational Nodes
Nodes in an ad hoc wireless network incur certain costs for forwarding packets since packet forwarding consumes the resources of the nodes. If the nodes are rational, free packet f...
N. Ram Suri, Y. Narahari
SODA
2010
ACM
201views Algorithms» more  SODA 2010»
14 years 7 months ago
Incentive Compatible Budget Elicitation in Multi-unit Auctions
In this paper, we consider the problem of designing incentive compatible auctions for multiple (homogeneous) units of a good, when bidders have private valuations and private budg...
Sayan Bhattacharya, Vincent Conitzer, Kamesh Munag...

Publication
325views
15 years 8 months ago
An Optimal Multi-Unit Combinatorial Procurement Auction with Single Minded Bidders
Abstract: The current art in optimal combinatorial auctions is limited to handling the case of single units of multiple items, with each bidder bidding on exactly one bundle (singl...
Sujit Guajr, Y Narahari