3 citations · 11 across the 15 of their papers we have counts for
4 papers · 1 filter
Limits on Testing Structural Changes in Ising Models
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
We present novel information-theoretic limits on detecting sparse changes in Ising models, a problem that arises in many applications where network changes can occur due to some ex…
Selective Classification via One-Sided Prediction
Aditya Gangrade, Anil Kag, Venkatesh Saligrama
We propose a novel method for selective classification (SC), a problem which allows a classifier to abstain from predicting some instances, thus trading off accuracy against covera…
Piecewise Linear Regression via a Difference of Convex Functions
Ali Siahkamari, Aditya Gangrade, Brian Kulis +1
We present a new piecewise linear regression methodology that utilizes fitting a difference of convex functions (DC functions) to the data. These are functions that may be repr…
Budget Learning via Bracketing
Aditya Gangrade, Durmus Alp Emre Acar, Venkatesh Saligrama
Conventional machine learning applications in the mobile/IoT setting transmit data to a cloud-server for predictions. Due to cost considerations (power, latency, monetary), it is d…