3 citations · 3 across the 2 of their papers we have counts for
4 papers
Bayesian Consensus: Consensus Estimates from Miscalibrated Instruments under Heteroscedastic Noise
Chirag Nagpal, Robert E. Tillman, Prashant Reddy +1
We consider the problem of aggregating predictions or measurements from a set of human forecasters, models, sensors or other instruments which may be subject to bias or miscalibrat…
Nonlinear Semi-Parametric Models for Survival Analysis
Chirag Nagpal, Rohan Sangave, Amit Chahar +3
Semi-parametric survival analysis methods like the Cox Proportional Hazards (CPH) regression (Cox, 1972) are a popular approach for survival analysis. These methods involve fitting…
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines
Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri +4
The dearth of prescribing guidelines for physicians is one key driver of the current opioid epidemic in the United States. In this work, we analyze medical and pharmaceutical claim…
Preserving Intermediate Objectives: One Simple Trick to Improve Learning for Hierarchical Models
Abhilasha Ravichander, Shruti Rijhwani, Rajat Kulshreshtha +3
Hierarchical models are utilized in a wide variety of problems which are characterized by task hierarchies, where predictions on smaller subtasks are useful for trying to predict a…