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139
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STOC
2004
ACM
118views Algorithms» more  STOC 2004»
16 years 3 months ago
Boosted sampling: approximation algorithms for stochastic optimization
Several combinatorial optimization problems choose elements to minimize the total cost of constructing a feasible solution that satisfies requirements of clients. In the STEINER T...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
SODA
2010
ACM
174views Algorithms» more  SODA 2010»
15 years 1 months ago
Differentially Private Combinatorial Optimization
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
131
Voted
SODA
2010
ACM
164views Algorithms» more  SODA 2010»
16 years 21 days ago
Differentially Private Approximation Algorithms
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
SIGECOM
2009
ACM
216views ECommerce» more  SIGECOM 2009»
15 years 9 months ago
Approximate mechanism design without money
The literature on algorithmic mechanism design is mostly concerned with game-theoretic versions of optimization problems to which standard economic money-based mechanisms cannot b...
Ariel D. Procaccia, Moshe Tennenholtz
SPAA
2010
ACM
15 years 8 months ago
Parallel approximation algorithms for facility-location problems
This paper presents the design and analysis of parallel approximation algorithms for facility-location problems, including NC and RNC algorithms for (metric) facility location, k-...
Guy E. Blelloch, Kanat Tangwongsan