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» Incentive Compatible Regression Learning
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DAGSTUHL
2007
14 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
AAAI
2010
14 years 11 months ago
Stability and Incentive Compatibility in a Kernel-Based Combinatorial Auction
We present the design and analysis of an approximately incentive-compatible combinatorial auction. In just a single run, the auction is able to extract enough value information fr...
Sébastien Lahaie
77
Voted
WWW
2008
ACM
15 years 10 months ago
Dynamic cost-per-action mechanisms and applications to online advertising
We study the Cost-Per-Action or Cost-Per-Acquisition (CPA) charging scheme in online advertising. In this scheme, instead of paying per click, the advertisers pay only when a user...
Hamid Nazerzadeh, Amin Saberi, Rakesh Vohra

Publication
466views
15 years 8 months ago
Multi-Armed Bandit Mechanisms for Multi-Slot Sponsored Search Auctions
In pay-per click sponsored search auctions which are cur- rently extensively used by search engines, the auction for a keyword involves a certain number of advertisers (say k) c...
Akash Das Sarma, Sujit Gujar, Y. Narahari
96
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ECML
2005
Springer
15 years 3 months ago
Natural Actor-Critic
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
Jan Peters, Sethu Vijayakumar, Stefan Schaal