24 citations · 76 across the 58 of their papers we have counts for
4 papers · 1 filter
A Parametric, Second-Order Cone Representable Model of Fairness for Decision-Making Problems
Kaarthik Sundar, Deepjyoti Deka, Russell Bent
The article develops a parametric model of fairness called "-fairness" that can be represented using a single second-order cone constraint and incorporated into existi…
Learning Networks from Wide-Sense Stationary Stochastic Processes
Anirudh Rayas, Jiajun Cheng, Rajasekhar Anguluri +2
Complex networked systems driven by latent inputs are common in fields like neuroscience, finance, and engineering. A key inference problem here is to learn edge connectivity from…
Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach
Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar +2
Constrained optimization problems arise in various engineering systems such as inventory management and power grids. Standard deep neural network (DNN) based machine learning proxi…
Equitable Routing--Rethinking the Multiple Traveling Salesman Problem
Abhay Singh Bhadoriya, Deepjyoti Deka, Kaarthik Sundar
The Multiple Traveling Salesman Problem (MTSP) extends the traveling salesman problem by assigning multiple salesmen to visit a set of targets from a common depot, with each target…