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» Logarithmic Regret Algorithms for Online Convex Optimization
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SIGECOM
2010
ACM
170views ECommerce» more  SIGECOM 2010»
14 years 14 days ago
Optimal online assignment with forecasts
Motivated by the allocation problem facing publishers in display advertising we formulate the online assignment with forecast problem, a version of the online allocation problem w...
Erik Vee, Sergei Vassilvitskii, Jayavel Shanmugasu...
INFOCOM
2005
IEEE
14 years 1 months ago
Online time-constrained scheduling in linear networks
— We consider the problem of scheduling a sequence of packets over a linear network, where every packet has a source and a target, as well as a release time and a deadline by whi...
Joseph Naor, Adi Rosén, Gabriel Scalosub
NIPS
2004
13 years 9 months ago
Nearly Tight Bounds for the Continuum-Armed Bandit Problem
In the multi-armed bandit problem, an online algorithm must choose from a set of strategies in a sequence of n trials so as to minimize the total cost of the chosen strategies. Wh...
Robert D. Kleinberg
ICML
2007
IEEE
14 years 8 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
14 years 2 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic