Sami Alabed

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Multitask Learning

Gaussian Processes

Automatic Discovery

Parameter Space

Top Venues

EuroMLSys@EuroSys

Publications

Sami Alabed, Bart Chrzaszcz, Juliana Franco, Dominik Grewe, Dougal Maclaurin, James Molloy, Tom Natan, Tamara Norman, Xiaoyue Pan, Adam Paszke, Norman A. Rink, Michael Schaarschmidt, Timur Sitdikov, Agnieszka Swietlik, Dimitrios Vytiniotis, Joel Wee
PartIR: Composing SPMD Partitioning Strategies for Machine Learning. CoRR (2024)
Sami Alabed, Eiko Yoneki
BoGraph: structured bayesian optimization from logs for expensive systems with many parameters. EuroMLSys@EuroSys (2022)
Sami Alabed, Dominik Grewe, Juliana Franco, Bart Chrzaszcz, Tom Natan, Tamara Norman, Norman A. Rink, Dimitrios Vytiniotis, Michael Schaarschmidt
Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR. CoRR (2022)
Sean Parker, Sami Alabed, Eiko Yoneki
RLFlow: Optimising Neural Network Subgraph Transformation with World Models. CoRR (2022)
Sami Alabed, Eiko Yoneki
BoGraph: Structured Bayesian Optimization From Logs for Systems with High-dimensional Parameter Space. CoRR (2021)
Sami Alabed, Eiko Yoneki
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB. EuroMLSys@EuroSys (2021)
Sami Alabed, Eiko Yoneki
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB. CoRR (2021)
Sami Alabed
RLCache: Automated Cache Management Using Reinforcement Learning. CoRR (2019)