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CORR
2010
Springer
124views Education» more  CORR 2010»
14 years 12 months ago
Online Learning of Noisy Data with Kernels
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
CORR
2010
Springer
112views Education» more  CORR 2010»
14 years 9 months ago
Optimal Distributed Online Prediction using Mini-Batches
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly comm...
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin X...
CORR
2007
Springer
90views Education» more  CORR 2007»
14 years 11 months ago
Recommender System for Online Dating Service
Abstract. Users of online dating sites are facing information overload that requires them to manually construct queries and browse huge amount of matching user profiles. This beco...
Lukas Brozovsky, Vaclav Petricek
CORR
2011
Springer
172views Education» more  CORR 2011»
14 years 6 months ago
SafeVchat: Detecting Obscene Content and Misbehaving Users in Online Video Chat Services
Online video chat services such as Chatroulette, Omegle, and vChatter that randomly match pairs of users in video chat sessions are fast becoming very popular, with over a million...
Xinyu Xing, Yu-Li Liang, Hanqiang Cheng, Jianxun D...
CORR
2011
Springer
202views Education» more  CORR 2011»
14 years 6 months ago
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems
The analysis of online least squares estimation is at the heart of many stochastic sequential decision-making problems. We employ tools from the self-normalized processes to provi...
Yasin Abbasi-Yadkori, Dávid Pál, Csa...