5 citations · 15 across the 7 of their papers we have counts for
7 papers
A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret
Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J. +2
Stochastic multi-armed bandit (MAB) mechanisms are widely used in sponsored search auctions, crowdsourcing, online procurement, etc. Existing stochastic MAB mechanisms with a deter…
Topic Model Based Multi-Label Classification from the Crowd
Divya Padmanabhan, Satyanath Bhat, Shirish Shevade +1
Multi-label classification is a common supervised machine learning problem where each instance is associated with multiple classes. The key challenge in this problem is learning th…
A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing
Satyanath Bhat, Divya Padmanabhan, Shweta Jain +1
We study a problem of allocating divisible jobs, arriving online, to workers in a crowdsourcing setting which involves learning two parameters of strategically behaving workers. Ea…
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds
Divya Padmanabhan, Satyanath Bhat, Dinesh Garg +2
We study the problem of training an accurate linear regression model by procuring labels from multiple noisy crowd annotators, under a budget constraint. We propose a Bayesian mode…
An Optimal Bidimensional Multi-Armed Bandit Auction for Multi-unit Procurement
Satyanath Bhat, Shweta Jain, Sujit Gujar +1
We study the problem of a buyer (aka auctioneer) who gains stochastic rewards by procuring multiple units of a service or item from a pool of heterogeneous strategic agents. The re…
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance
Shweta Jain, Sujit Gujar, Satyanath Bhat +2
Consider a requester who wishes to crowdsource a series of identical binary labeling tasks to a pool of workers so as to achieve an assured accuracy for each task, in a cost optima…
Pattern Clustering using Cooperative Game Theory
Swapnil Dhamal, Satyanath Bhat, K. R. Anoop +1
In this paper, we approach the classical problem of clustering using solution concepts from cooperative game theory such as Nucleolus and Shapley value. We formulate the problem of…