68 citations · 185 across the 18 of their papers we have counts for
6 papers · 1 filter
On Learning Sparsely Used Dictionaries from Incomplete Samples
Thanh V. Nguyen, Akshay Soni, Chinmay Hegde
Most existing algorithms for dictionary learning assume that all entries of the (high-dimensional) input data are fully observed. However, in several practical applications (such a…
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…
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…
Noisy Matrix Completion under Sparse Factor Models
Akshay Soni, Swayambhoo Jain, Jarvis Haupt +1
This paper examines a general class of noisy matrix completion tasks where the goal is to estimate a matrix from observations obtained at a subset of its entries, each of which is…
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach
Swayambhoo Jain, Akshay Soni, Jarvis Haupt
This work considers an estimation task in compressive sensing, where the goal is to estimate an unknown signal from compressive measurements that are corrupted by additive pre-meas…
Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries
Akshay Soni, Jarvis Haupt
Recent breakthrough results in compressed sensing (CS) have established that many high dimensional objects can be accurately recovered from a relatively small number of non- adapti…