99 citations · 155 across the 22 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
q-fin.ST2020
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…
cs.LG2020
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
Chirag Nagpal, Xinyu Rachel Li, Artur Dubrawski
We describe a new approach to estimating relative risks in time-to-event prediction problems with censored data in a fully parametric manner. Our approach does not require making s…