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8 papers · 1 filter
Matrix Completion with Hierarchical Graph Side Information
Adel Elmahdy, Junhyung Ahn, Changho Suh +1
We consider a matrix completion problem that exploits social or item similarity graphs as side information. We develop a universal, parameter-free, and computationally efficient al…
To update or not to update? Delayed Nonparametric Bandits with Randomized Allocation
Sakshi Arya, Yuhong Yang
Delayed rewards problem in contextual bandits has been of interest in various practical settings. We study randomized allocation strategies and provide an understanding on how the…
Multilayer tensor factorization with applications to recommender systems
Xuan Bi, Annie Qu, Xiaotong Shen
Recommender systems have been widely adopted by electronic commerce and entertainment industries for individualized prediction and recommendation, which benefit consumers and impro…
Sparse Linear Isotonic Models
Sheng Chen, Arindam Banerjee
In machine learning and data mining, linear models have been widely used to model the response as parametric linear functions of the predictors. To relax such stringent assumptions…
Noisy Inductive Matrix Completion Under Sparse Factor Models
Akshay Soni, Troy Chevalier, Swayambhoo Jain
Inductive Matrix Completion (IMC) is an important class of matrix completion problems that allows direct inclusion of available features to enhance estimation capabilities. These m…
Alternating Estimation for Structured High-Dimensional Multi-Response Models
Sheng Chen, Arindam Banerjee
We consider learning high-dimensional multi-response linear models with structured parameters. By exploiting the noise correlations among responses, we propose an alternating estim…