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Kevin Sun

2 accepted papers

2023

Approximations for Indivisible Concave Allocations with Applications to Nash Welfare Maximization

AAAI 2023technical

We study a general allocation setting where agent valuations are concave additive. In this model, a collection of items must be uniquely distributed among a set of agents, where each agent-item pair has a specified utility. The objective is to maximize the sum of agent valuations, each of which is a…

Cited by 1SourcePDFScholar
2022

Augmenting Online Algorithms with $\varepsilon$-Accurate Predictions

NeurIPS 2022accept

The growing body of work in learning-augmented online algorithms studies how online algorithms can be improved when given access to ML predictions about the future. Motivated by ML models that give a confidence parameter for their predictions, we study online algorithms with predictions that are $\e…

Cited by 5SourcePDFScholar