Shirish Shevade

A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds

2016 · arXiv (Cornell University)

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 model for linear regression in crowdsourcing and use …

Topic Model Based Multi-Label Classification from the Crowd

2016 · arXiv (Cornell University)

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 the correlations between the classes. An additional challenge arises when …