activity
20112026
most citedGuess Who Rated This Movie: Identifying Users Through Subspace Clustering

45 citations · 280 across the 62 of their papers we have counts for

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Showing 2013Show all

5 papers · 1 filter

cs.HC2013★ 3 cited

A Consensus-Focused Group Recommender System

Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan

In many cases, recommendations are consumed by groups of users rather than individuals. In this paper, we present a system which recommends social events to groups. The system help…

cs.LG2013★ 2 cited

Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization

Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis +1

Recommender systems leverage user demographic information, such as age, gender, etc., to personalize recommendations and better place their targeted ads. Oftentimes, users do not v…

cs.LG2013★ 11 cited

Learning Mixtures of Linear Classifiers

Yuekai Sun, Stratis Ioannidis, Andrea Montanari

We consider a discriminative learning (regression) problem, whereby the regression function is a convex combination of k linear classifiers. Existing approaches are based on the EM…

cs.GT2013

Linear Regression from Strategic Data Sources

Nicolas Gast, Stratis Ioannidis, Patrick Loiseau +1

Linear regression is a fundamental building block of statistical data analysis. It amounts to estimating the parameters of a linear model that maps input features to corresponding…

cs.GT2013★ 17 cited

Budget Feasible Mechanisms for Experimental Design

Thibaut Horel, Stratis Ioannidis, S. Muthukrishnan

In the classical experimental design setting, an experimenter E has access to a population of potential experiment subjects , each associated with a vector of…