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Sarah Bird
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Applied machine learning at facebook: A datacenter infrastructure perspective
K Hazelwood, S Bird, D Brooks, S Chintala, U Diril, D Dzhulgakov, ...
2018 IEEE international symposium on high performance computer architecture …, 2018
7132018
Fairlearn: A toolkit for assessing and improving fairness in AI
S Bird, M Dudík, R Edgar, B Horn, R Lutz, V Milan, M Sameki, H Wallach, ...
Microsoft, Tech. Rep. MSR-TR-2020-32, 2020
3902020
A hardware evaluation of cache partitioning to improve utilization and energy-efficiency while preserving responsiveness
H Cook, M Moreto, S Bird, K Dao, DA Patterson, K Asanovic
ACM SIGARCH Computer Architecture News 41 (3), 308-319, 2013
1712013
Tessellation: Space-time partitioning in a manycore client OS
R Liu, K Klues, S Bird, S Hofmeyr, K Asanovic, J Kubiatowicz
HotPar09, Berkeley, CA 3, 2009, 2009
1602009
A case for FAME: FPGA architecture model execution
Z Tan, A Waterman, H Cook, S Bird, K Asanović, D Patterson
Proceedings of the 37th annual international symposium on Computer …, 2010
1162010
Making contextual decisions with low technical debt
A Agarwal, S Bird, M Cozowicz, L Hoang, J Langford, S Lee, J Li, ...
arXiv preprint arXiv:1606.03966, 2016
1052016
Tessellation: Refactoring the OS around explicit resource containers with continuous adaptation
JA Colmenares, G Eads, S Hofmeyr, S Bird, M Moretó, D Chou, ...
Proceedings of the 50th Annual Design Automation Conference, 1-10, 2013
832013
Fairness-aware machine learning: Practical challenges and lessons learned
S Bird, K Kenthapadi, E Kiciman, M Mitchell
Proceedings of the twelfth ACM international conference on web search and …, 2019
772019
Performance characterization of SPEC CPU benchmarks on Intel’s Core microarchitecture based processor
S Bird, A Phansalkar, LK John, A Mericas, R Indukuru
SPEC Benchmark Workshop, 1-7, 2007
762007
Exploring or exploiting? Social and ethical implications of autonomous experimentation in AI
S Bird, S Barocas, K Crawford, F Diaz, H Wallach
Workshop on Fairness, Accountability, and Transparency in Machine Learning, 2016
712016
Resource management in the Tessellation manycore OS
JA Colmenares, S Bird, H Cook, P Pearce, D Zhu, J Shalf, S Hofmeyr, ...
HotPar10, Berkeley, CA, 2010
622010
The representativeness of automated web crawls as a surrogate for human browsing
D Zeber, S Bird, C Oliveira, W Rudametkin, I Segall, F Wollsén, M Lopatka
Proceedings of The Web Conference 2020, 167-178, 2020
532020
A multiworld testing decision service
A Agarwal, S Bird, M Cozowicz, L Hoang, J Langford, S Lee, J Li, ...
arXiv preprint arXiv:1606.03966 7, 2016
352016
Replication: Why we still can't browse in peace: On the uniqueness and reidentifiability of web browsing histories
S Bird, I Segall, M Lopatka
Sixteenth Symposium on Usable Privacy and Security (SOUPS 2020), 489-503, 2020
322020
Sysml: The new frontier of machine learning systems
A Ratner, D Alistarh, G Alonso, P Bailis, S Bird, N Carlini, B Catanzaro, ...
arXiv preprint arXiv:1904.03257 98, 2019
292019
{PACORA}: Performance Aware Convex Optimization for Resource Allocation
SL Bird, BJ Smith
272011
Mlsys: The new frontier of machine learning systems
A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ...
arXiv preprint arXiv:1904.03257, 2019
192019
Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection
S Bird, V Mishra, S Englehardt, R Willoughby, D Zeber, W Rudametkin, ...
arXiv preprint arXiv:2003.04463, 2020
132020
Exploring or exploiting
S Bird, S Barocas, K Crawford, F Diaz, H Wallach
Social and ethical implications of autonomous experimentation in AI, 2016
122016
Responsible AI investments and safeguards for facial recognition
S Bird
Microsoft. Retrieved December 15, 2022, 2022
102022
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