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Christopher Seiler

2 accepted papers

2024

Accelerating ERM for data-driven algorithm design using output-sensitive techniques

NeurIPS 2024poster

Data-driven algorithm design is a promising, learning-based approach for beyond worst-case analysis of algorithms with tunable parameters. An important open problem is the design of computationally efficient data-driven algorithms for combinatorial algorithm families with multiple parameters. As one…

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