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Sara Smoot
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 4
Top Topics
Batch Learning
Incremental Learning
Sliding Window
Data Streams
Top Venues
CoRR
INFORMS J. Appl. Anal.
KDD
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Publications
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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)