1 citations · 1 across the 2 of their papers we have counts for
5 papers
Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org
Angelina Mooseder, Momin M. Malik, Hemank Lamba +3
Erowid.org is a website dedicated to documenting information about psychoactive substances, with over 36,000 user-submitted drug Experience Reports. We study the potential of these…
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings
Hemank Lamba, Kit T. Rodolfa, Rayid Ghani
Applications of machine learning (ML) to high-stakes policy settings -- such as education, criminal justice, healthcare, and social service delivery -- have grown rapidly in recent…
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy
Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
Growing use of machine learning in policy and social impact settings have raised concerns for fairness implications, especially for racial minorities. These concerns have generated…
Driving The Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks
Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla +3
In 2015, 391,000 people were injured due to distracted driving in the US. One of the major reasons behind distracted driving is the use of cell-phones, accounting for 14% of fatal…
Item Recommendation with Evolving User Preferences and Experience
Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum
Current recommender systems exploit user and item similarities by collaborative filtering. Some advanced methods also consider the temporal evolution of item ratings as a global ba…