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2020 – today
- 2024
[c3]Mike Chow, Yang Wang, William Wang, Ayichew Hailu, Rohan Bopardikar, Bin Zhang, Jialiang Qu, David Meisner, Santosh Sonawane, Yunqi Zhang, Rodrigo Paim, Mack Ward, Ivor Huang, Matt McNally, Daniel Hodges, Zoltan Farkas, Caner Gocmen, Elvis Huang, Chunqiang Tang:
ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing. OSDI 2024: 545-562- 2023
- [c2]Amine Allouah
, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Nona Bohanon, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses, Ken Rodríguez Taarup:
Fair Allocation Over Time, with Applications to Content Moderation. KDD 2023: 25-35 - 2022
- [i3]Amine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses:
Robust and fair work allocation. CoRR abs/2202.05194 (2022) - [i2]Vashist Avadhanula, Omar Abdul Baki, Hamsa Bastani, Osbert Bastani, Caner Gocmen, Daniel Haimovich, Darren Hwang, Dima Karamshuk, Thomas J. Leeper, Jiayuan Ma, Gregory Macnamara, Jake Mullett, Christopher Palow, Sung Park, Varun S. Rajagopal, Kevin Schaeffer, Parikshit Shah, Deeksha Sinha, Nicolás Stier Moses, Peng Xu:
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. CoRR abs/2211.06516 (2022) - 2021
- [i1]Rahul Makhijani, Parikshit Shah, Vashist Avadhanula, Caner Gocmen, Nicolás E. Stier Moses, Julián Mestre:
QUEST: Queue Simulation for Content Moderation at Scale. CoRR abs/2103.16816 (2021)
2010 – 2019
- 2018
- [c1]Martin Valdez-Vivas, Caner Gocmen, Andrii Korotkov, Ethan Fang, Kapil Goenka, Sherry Chen:
A Real-time Framework for Detecting Efficiency Regressions in a Globally Distributed Codebase. KDD 2018: 821-829
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