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» Approximation algorithms for budgeted learning problems
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COLT
2004
Springer
13 years 8 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
APPROX
2004
Springer
122views Algorithms» more  APPROX 2004»
13 years 10 months ago
Maximum Coverage Problem with Group Budget Constraints and Applications
We study a variant of the maximum coverage problem which we label the maximum coverage problem with group budget constraints (MCG). We are given a collection of sets S = {S1, S2, ....
Chandra Chekuri, Amit Kumar
IPL
2007
94views more  IPL 2007»
13 years 4 months ago
The finite horizon investor problem with a budget constraint
We study a model that incorporates a budget constraint in a decision making problem. Our goal is to maximize the expected wealth, where in each time period we can either stop the ...
Asaf Levin
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
13 years 10 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...