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ICML
2009
IEEE
16 years 4 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
SAC
2009
ACM
15 years 11 months ago
Defending online reputation systems against collaborative unfair raters through signal modeling and trust
Online feedback-based rating systems are gaining popularity. Dealing with collaborative unfair ratings in such systems has been recognized as an important but difficult problem. T...
Yafei Yang, Yan Lindsay Sun, Steven Kay, Qing Yang
FOCS
2008
IEEE
15 years 10 months ago
The Power of Reordering for Online Minimum Makespan Scheduling
In the classic minimum makespan scheduling problem, we are given an input sequence of jobs with processing times. A scheduling algorithm has to assign the jobs to m parallel machi...
Matthias Englert, Deniz Özmen, Matthias Weste...
IPPS
2007
IEEE
15 years 10 months ago
Online Aggregation over Trees
Consider a distributed network with nodes arranged in a tree, and each node having a local value. We consider the problem of aggregating values (e.g., summing values) from all nod...
C. Greg Plaxton, Mitul Tiwari, Praveen Yalagandula
160
Voted
ESCAPE
2007
Springer
228views Algorithms» more  ESCAPE 2007»
15 years 10 months ago
Online Capacitated Interval Coloring
Abstract. In the online capacitated interval coloring problem, a sequence of requests arrive online. Each of the requests is an interval Ij ⊆ {1, 2, . . . , n} with bandwidth bj....
Leah Epstein, Thomas Erlebach, Asaf Levin