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06/13/2023
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems
Modern computer systems are highly-configurable, with hundreds of config...
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01/20/2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality
Modern computer systems are highly configurable, with the total variabil...
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10/12/2020
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning
Modern computing platforms are highly-configurable with thousands of int...
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01/18/2020
FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks
One of the key challenges in designing machine learning systems is to de...
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04/04/2019