Daniel Bourgeois — accepted AI-conference papers

2026

DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs

Xinyu Yao, Daniel Bourgeois, Abhinav Jain, Yuxin Tang, Jiawen Yao, Zhimin Ding +2

ICLR 2026poster

We study the problem of assigning operations in a dataflow graph to devices to minimize execution time in a work-conserving system, with emphasis on complex machine learning workloads. Prior learning-based approaches face three limitations: (1) reliance on bulk-synchronous frameworks that under-util…

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2023

Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning

Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine

ICML 2023poster

The relational data model was designed to facilitate large-scale data management and analytics. We consider the problem of how to differentiate computations expressed relationally. We show experimentally that a relational engine running an auto-differentiated relational algorithm can easily scale to…

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