5 citations · 12 across the 5 of their papers we have counts for
5 papers
Confidence Intervals for Rate Estimation with Importance Sampling in Autonomous Vehicle Evaluation
Aiyou Chen, Ruixuan Rachel Zhou, Joseph J. Lee +2
Accounting for both rare events and complex sampling presents challenges when quantifying uncertainty for rate estimation in autonomous vehicle performance evaluation. In this pape…
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft
Xabi Azagirre, Akshay Balwally, Guillaume Candeli +16
To better match drivers to riders in our ridesharing application, we revised Lyft's core matching algorithm. We use a novel online reinforcement learning approach that estimates th…
Teaching Statistics at Google Scale
Nicholas Chamandy, Omkar Muralidharan, Stefan Wager
Modern data and applications pose very different challenges from those of the 1950s or even the 1980s. Students contemplating a career in statistics or data science need to have th…
Feedback Detection for Live Predictors
Stefan Wager, Nick Chamandy, Omkar Muralidharan +1
A predictor that is deployed in a live production system may perturb the features it uses to make predictions. Such a feedback loop can occur, for example, when a model that predic…
Tilted Euler characteristic densities for Central Limit random fields, with application to "bubbles"
N. Chamandy, K. J. Worsley, J. Taylor +1
Local increases in the mean of a random field are detected (conservatively) by thresholding a field of test statistics at a level chosen to control the tail probability or -…