13 citations · 17 across the 4 of their papers we have counts for
4 papers
Clustered Monotone Transforms for Rating Factorization
Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo +1
Exploiting low-rank structure of the user-item rating matrix has been the crux of many recommendation engines. However, existing recommendation engines force raters with heterogene…
A case study of Empirical Bayes in User-Movie Recommendation system
Arabin Kumar Dey, Raghav Somani, Sreangsu Acharyya
In this article we provide a formulation of empirical bayes described by Atchade (2011) to tune the hyperparameters of priors used in bayesian set up of collaborative filter. We im…
Learning to Rank With Bregman Divergences and Monotone Retargeting
Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh
This paper introduces a novel approach for learning to rank (LETOR) based on the notion of monotone retargeting. It involves minimizing a divergence between all monotonic increasin…
An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh +1
Unsupervised models can provide supplementary soft constraints to help classify new, "target" data since similar instances in the target set are more likely to share the same class…