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» The Guarding Problem - Complexity and Approximation
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NIPS
2008
15 years 7 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
IPCO
2001
166views Optimization» more  IPCO 2001»
15 years 7 months ago
Approximate k-MSTs and k-Steiner Trees via the Primal-Dual Method and Lagrangean Relaxation
Garg [10] gives two approximation algorithms for the minimum-cost tree spanning k vertices in an undirected graph. Recently Jain and Vazirani [16] discovered primal-dual approxima...
Fabián A. Chudak, Tim Roughgarden, David P....
SODA
1997
ACM
114views Algorithms» more  SODA 1997»
15 years 7 months ago
Better Approximation Guarantees for Job-shop Scheduling
Job-shop scheduling is a classical NP-hard problem. Shmoys, Stein, and Wein presented the first polynomial-time approximation algorithm for this problem that has a good (polylogar...
Leslie Ann Goldberg, Mike Paterson, Aravind Sriniv...
FSTTCS
2003
Springer
15 years 11 months ago
On the Covering Steiner Problem
The Covering Steiner problem is a common generalization of the k-MST and Group Steiner problems. An instance of the Covering Steiner problem consists of an undirected graph with ed...
Anupam Gupta, Aravind Srinivasan
IFIP
2004
Springer
15 years 11 months ago
Solving Packing Problem with Weaker Block Solvers
We study the general packing problem with M constraints. In [Jansen and Zhang, TCS 2002] a c(1 + ε)-approximation algorithm for the general packing problem was proposed. A block s...
Hu Zhang