13 citations · 22 across the 5 of their papers we have counts for
5 papers
The Obnoxious Facility Location Game with Dichotomous Preferences
Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha
We consider a facility location game in which agents reside at known locations on a path, and heterogeneous facilities are to be constructed on the path. Each agent is adve…
Egalitarian Resource Sharing Over Multiple Rounds
Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha
It is often beneficial for agents to pool their resources in order to better accommodate fluctuations in individual demand. Many multi-round resource allocation mechanisms operate…
Object Allocation Over a Network of Objects: Mobile Agents with Strict Preferences
Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha
In recent work, Gourvès, Lesca, and Wilczynski propose a variant of the classic housing markets model where the matching between agents and objects evolves through Pareto-improving…
DANTE: Deep AlterNations for Training nEural networks
Vaibhav B Sinha, Sneha Kudugunta, Adepu Ravi Sankar +3
We present DANTE, a novel method for training neural networks using the alternating minimization principle. DANTE provides an alternate perspective to traditional gradient-based ba…
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification
Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian
Many real world problems can now be effectively solved using supervised machine learning. A major roadblock is often the lack of an adequate quantity of labeled data for training.…