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» An Online Algorithm for Maximizing Submodular Functions
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ICML
2010
IEEE
13 years 8 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause
CORR
2011
Springer
177views Education» more  CORR 2011»
13 years 2 months ago
A Truthful Randomized Mechanism for Combinatorial Public Projects via Convex Optimization
In Combinatorial Public Projects, there is a set of projects that may be undertaken, and a set of selfinterested players with a stake in the set of projects chosen. A public plann...
Shaddin Dughmi
CVPR
2011
IEEE
12 years 11 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...
SODA
2010
ACM
208views Algorithms» more  SODA 2010»
14 years 5 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...
ECCC
2006
218views more  ECCC 2006»
13 years 7 months ago
Efficient Algorithms for Online Game Playing and Universal Portfolio Management
We introduce a new algorithm and a new analysis technique that is applicable to a variety of online optimization scenarios, including regret minimization for Lipschitz regret func...
Amit Agarwal, Elad Hazan