Online algorithms for rent-or-buy with expert advice
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, Conference
Gollapudi, S; Panigrahi, D
Published in: 36th International Conference on Machine Learning, ICML 2019
January 1, 2019
We study the use of predictions by multiple experts (such as machine learning algorithms) to improve the performance of online algorithms. In particular, we consider the classical rcnt-or-buy problem (also called ski rental), and obtain algorithms that provably improve their performance over the adversarial scenario by using these predictions. We also prove matching lower bounds to show that our algorithms are the best possible, and perform experiments to empirically validate their performance in practice.
Duke Scholars
Published In
36th International Conference on Machine Learning, ICML 2019
Publication Date
January 1, 2019
Volume
2019-June
Start / End Page
4181 / 4189
Citation
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Gollapudi, S., & Panigrahi, D. (2019). Online algorithms for rent-or-buy with expert advice. In 36th International Conference on Machine Learning, ICML 2019 (Vol. 2019-June, pp. 4181–4189).
Gollapudi, S., and D. Panigrahi. “Online algorithms for rent-or-buy with expert advice.” In 36th International Conference on Machine Learning, ICML 2019, 2019-June:4181–89, 2019.
Gollapudi S, Panigrahi D. Online algorithms for rent-or-buy with expert advice. In: 36th International Conference on Machine Learning, ICML 2019. 2019. p. 4181–9.
Gollapudi, S., and D. Panigrahi. “Online algorithms for rent-or-buy with expert advice.” 36th International Conference on Machine Learning, ICML 2019, vol. 2019-June, 2019, pp. 4181–89.
Gollapudi S, Panigrahi D. Online algorithms for rent-or-buy with expert advice. 36th International Conference on Machine Learning, ICML 2019. 2019. p. 4181–4189.
Published In
36th International Conference on Machine Learning, ICML 2019
Publication Date
January 1, 2019
Volume
2019-June
Start / End Page
4181 / 4189