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» The Budgeted Multi-armed Bandit Problem
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466views
14 years 6 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
CORR
2010
Springer
189views Education» more  CORR 2010»
13 years 7 months ago
An Optimal Dynamic Mechanism for Multi-Armed Bandit Processes
We consider the problem of revenue-optimal dynamic mechanism design in settings where agents' types evolve over time as a function of their (both public and private) experien...
Sham M. Kakade, Ilan Lobel, Hamid Nazerzadeh
COLT
2004
Springer
13 years 11 months ago
The Budgeted Multi-armed Bandit Problem
straction of the following scenarios: choosing from among a set of alternative treatments after a fixed number of clinical trials, determining the best parameter settings for a pro...
Omid Madani, Daniel J. Lizotte, Russell Greiner
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 11 days ago
Toward comparison-based adaptive operator selection
Adaptive Operator Selection (AOS) turns the impacts of the applications of variation operators into Operator Selection through a Credit Assignment mechanism. However, most Credit ...
Álvaro Fialho, Marc Schoenauer, Michè...
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
14 years 1 months ago
Bandit-Based Algorithms for Budgeted Learning
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...