3 citations · 5 across the 2 of their papers we have counts for
2 papers
stat.ME2024★ 3 cited
Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs
Ruoxuan Xiong, Alex Chin, Sean J. Taylor
We study the design and analysis of switchback experiments conducted on a single aggregate unit. The design problem is to partition the continuous time space into intervals and swi…
cs.LG2023★ 2 cited
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…