12 citations · 36 across the 8 of their papers we have counts for
11 papers
A Hybrid 2-stage Neural Optimization for Pareto Front Extraction
Gurpreet Singh, Soumyajit Gupta, Matthew Lease +1
Classification, recommendation, and ranking problems often involve competing goals with additional constraints (e.g., to satisfy fairness or diversity criteria). Such optimization…
SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing
Gurpreet Singh, Soumyajit Gupta, Clint Dawson
Hyperspectral unmixing involves separating a pixel as a weighted combination of its constituent endmembers and corresponding fractional abundances, with the current state of the ar…
Range-Net: A High Precision Streaming SVD for Big Data Applications
Gurpreet Singh, Soumyajit Gupta, Matthew Lease +1
In a Big Data setting computing the dominant SVD factors is restrictive due to the main memory requirements. Recently introduced streaming Randomized SVD schemes work under the res…
Extracting Optimal Solution Manifolds using Constrained Neural Optimization
Gurpreet Singh, Soumyajit Gupta, Matthew Lease
Constrained Optimization solution algorithms are restricted to point based solutions. In practice, single or multiple objectives must be satisfied, wherein both the objective funct…
A Conceptual Framework for Evaluating Fairness in Search
Anubrata Das, Matthew Lease
While search efficacy has been evaluated traditionally on the basis of result relevance, fairness of search has attracted recent attention. In this work, we define a notion of dist…
CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking
Anubrata Das, Kunjan Mehta, Matthew Lease
The effect of user bias in fact-checking has not been explored extensively from a user-experience perspective. We estimate the user bias as a function of the user's perceived reput…