41 citations · 98 across the 12 of their papers we have counts for
4 papers · 1 filter
Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring
Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey Druce +2
This paper considers the problem of estimating an unknown high dimensional signal from noisy linear measurements, {when} the signal is assumed to possess a \emph{group-sparse} stru…
Noisy Tensor Completion for Tensors with a Sparse Canonical Polyadic Factor
Swayambhoo Jain, Alexander Gutierrez, Jarvis Haupt
In this paper we study the problem of noisy tensor completion for tensors that admit a canonical polyadic or CANDECOMP/PARAFAC (CP) decomposition with one of the factors being spar…
Block CUR: Decomposing Matrices using Groups of Columns
Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu +1
A common problem in large-scale data analysis is to approximate a matrix using a combination of specifically sampled rows and columns, known as CUR decomposition. Unfortunately, in…
Rank-to-engage: New Listwise Approaches to Maximize Engagement
Swayambhoo Jain, Akshay Soni, Nikolay Laptev +1
For many internet businesses, presenting a given list of items in an order that maximizes a certain metric of interest (e.g., click-through-rate, average engagement time etc.) is c…