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» Sampling Bounds for Stochastic Optimization
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JMLR
2010
161views more  JMLR 2010»
13 years 4 months ago
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
Lin Xiao
FOCS
2005
IEEE
14 years 3 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
CDC
2010
IEEE
102views Control Systems» more  CDC 2010»
13 years 4 months ago
Stock market trading via stochastic network optimization
We consider the problem of dynamic buying and selling of shares from a collection of N stocks with random price fluctuations. To limit investment risk, we place an upper bound on t...
Michael J. Neely
ICDCS
2009
IEEE
14 years 4 months ago
Stochastic Multicast with Network Coding
The usage of network resources by content providers is commonly governed by Service Level Agreements (SLA) between the content provider and the network service provider. Resource ...
Ajay Gopinathan, Zongpeng Li
SIGECOM
2009
ACM
110views ECommerce» more  SIGECOM 2009»
14 years 4 months ago
On random sampling auctions for digital goods
In the context of auctions for digital goods, an interesting Random Sampling Optimal Price auction (RSOP) has been proposed by Goldberg, Hartline and Wright; this leads to a truth...
Saeed Alaei, Azarakhsh Malekian, Aravind Srinivasa...