Sara Smoot

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 4

Top Topics

Incremental Learning

Top Venues

INFORMS J. Appl. Anal.

Publications

Xabi Azagirre, Akshay Balwally, Guillaume Candeli, Nicholas Chamandy, Benjamin Han, Alona King, Hyungjun Lee, Martin Loncaric, Sébastien Martin, Vijay Narasiman, Zhiwei (Tony) Qin, Baptiste Richard, Sara Smoot, Sean Taylor, Garrett J. van Ryzin, Di Wu, Fei Yu, Alex Zamoshchin
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft. INFORMS J. Appl. Anal. 54 (1) (2024)
Xabi Azagirre, Akshay Balwally, Guillaume Candeli, Nicholas Chamandy, Benjamin Han, Alona King, Hyungjun Lee, Martin Loncaric, Sébastien Martin, Vijay Narasiman, Zhiwei Qin, Baptiste Richard, Sara Smoot, Sean Taylor, Garrett J. van Ryzin, Di Wu, Fei Yu, Alex Zamoshchin
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft. CoRR (2023)
Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar
Lambda Learner: Fast Incremental Learning on Data Streams. KDD (2021)
Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar
Lambda Learner: Fast Incremental Learning on Data Streams. CoRR (2020)