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CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 20 days ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
JMLR
2012
11 years 8 months ago
On Bisubmodular Maximization
Bisubmodularity extends the concept of submodularity to set functions with two arguments. We show how bisubmodular maximization leads to richer value-of-information problems, usin...
Ajit Singh, Andrew Guillory, Jeff Bilmes
WINE
2010
Springer
189views Economy» more  WINE 2010»
13 years 4 months ago
Approximation Algorithms for Non-single-minded Profit-Maximization Problems with Limited Supply
We consider profit-maximization problems for combinatorial auctions with non-single minded valuation functions and limited supply. We obtain fairly general results that relate the ...
Khaled M. Elbassioni, Mahmoud Fouz, Chaitanya Swam...
WINE
2005
Springer
182views Economy» more  WINE 2005»
13 years 11 months ago
Inapproximability Results for Combinatorial Auctions with Submodular Utility Functions
We consider the following allocation problem arising in the setting of combinatorial auctions: a set of goods is to be allocated to a set of players so as to maximize the sum of t...
Subhash Khot, Richard J. Lipton, Evangelos Markaki...
SIGECOM
2008
ACM
155views ECommerce» more  SIGECOM 2008»
13 years 6 months ago
Tight information-theoretic lower bounds for welfare maximization in combinatorial auctions
We provide tight information-theoretic lower bounds for the welfare maximization problem in combinatorial auctions. In this problem, the goal is to partition m items among k bidde...
Vahab S. Mirrokni, Michael Schapira, Jan Vondr&aac...