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pro vyhledávání: '"Zhu, Cherlin"'
Autor:
Balkanski, Eric, Zhu, Cherlin
An important challenge in robust machine learning is when training data is provided by strategic sources who may intentionally report erroneous data for their own benefit. A line of work at the intersection of machine learning and mechanism design ai
Externí odkaz:
http://arxiv.org/abs/2411.07354
Aiming to overcome some of the limitations of worst-case analysis, the recently proposed framework of "algorithms with predictions" allows algorithms to be augmented with a (possibly erroneous) machine-learned prediction that they can use as a guide.
Externí odkaz:
http://arxiv.org/abs/2310.02879
Suppose we are given a system of coupled oscillators on an unknown graph along with the trajectory of the system during some period. Can we predict whether the system will eventually synchronize? Even with a known underlying graph structure, this is
Externí odkaz:
http://arxiv.org/abs/2012.14048
Akademický článek
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