2 citations · 7 across the 6 of their papers we have counts for
9 papers
Segmenting across places: The need for fair transfer learning with satellite imagery
Miao Zhang, Harvineet Singh, Lazarus Chok +1
The increasing availability of high-resolution satellite imagery has enabled the use of machine learning to support land-cover measurement and inform policy-making. However, labell…
Learning Under Adversarial and Interventional Shifts
Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez +1
Machine learning models are often trained on data from one distribution and deployed on others. So it becomes important to design models that are robust to distribution shifts. Mos…
An RNN-Survival Model to Decide Email Send Times
Harvineet Singh, Moumita Sinha, Atanu R. Sinha +2
Email communications are ubiquitous. Firms control send times of emails and thereby the instants at which emails reach recipients (it is assumed email is received instantaneously f…
Fairness Violations and Mitigation under Covariate Shift
Harvineet Singh, Rina Singh, Vishwali Mhasawade +1
We study the problem of learning fair prediction models for unseen test sets distributed differently from the train set. Stability against changes in data distribution is an import…
Modeling Time to Open of Emails with a Latent State for User Engagement Level
Moumita Sinha, Vishwa Vinay, Harvineet Singh
Email messages have been an important mode of communication, not only for work, but also for social interactions and marketing. When messages have time sensitive information, it be…
Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts
Aadhavan M. Nambhi, Bhanu Prakash Reddy, Aarsh Prakash Agarwal +3
Data analytics software applications have become an integral part of the decision-making process of analysts. Users of such a software face challenges due to insufficient product a…