Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds

Antonios Antoniadis; Christian  Coester; Adam Polak; Bertrand Simon; Marek Elias

Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds

Antonios Antoniadis, Christian Coester, Adam Polak, Bertrand Simon, Marek Elias

Mathematics of Operations Research

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

14 Citations (Scopus)

95 Downloads (Pure)

Original language	English
Title of host publication	35th Conference on Neural Information Processing Systems (NeurIPS 2021)
Publication status	Published - 2021
Event	35th Conference on Neural Information Processing Systems, NeurIPS 2021 - Virtual, Online Duration: 6 Dec 2021 → 14 Dec 2021 Conference number: 35

Publication series

Name	Advances in Neural Information Processing Systems
Volume	34

Conference

Conference	35th Conference on Neural Information Processing Systems, NeurIPS 2021
Abbreviated title	NeurIPS 2021
City	Virtual, Online
Period	6/12/21 → 14/12/21

Access to Document

NeurIPS-2021-learning-augmented-dynamic-power-management-with-multiple-states-via-new-ski-rental-bounds-PaperFinal published version, 337 KB

https://proceedings.neurips.cc/paper/2021/hash/8b8388180314a337c9aa3c5aa8e2f37a-Abstract.html

Cite this

Antoniadis, A., Coester, C., Polak, A., Simon, B., & Elias, M. (2021). Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds. In 35th Conference on Neural Information Processing Systems (NeurIPS 2021) (Advances in Neural Information Processing Systems; Vol. 34). https://proceedings.neurips.cc/paper/2021/hash/8b8388180314a337c9aa3c5aa8e2f37a-Abstract.html

@inproceedings{143a91c7bbff4e708c809c925d79f47c,

title = "Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds",

author = "Antonios Antoniadis and Christian Coester and Adam Polak and Bertrand Simon and Marek Elias",

year = "2021",

language = "English",

series = "Advances in Neural Information Processing Systems",

booktitle = "35th Conference on Neural Information Processing Systems (NeurIPS 2021)",

note = "35th Conference on Neural Information Processing Systems, NeurIPS 2021, NeurIPS 2021 ; Conference date: 06-12-2021 Through 14-12-2021",

}

Antoniadis, A, Coester, C, Polak, A, Simon, B & Elias, M 2021, Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds. in 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Advances in Neural Information Processing Systems, vol. 34, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Virtual, Online, 6/12/21. <https://proceedings.neurips.cc/paper/2021/hash/8b8388180314a337c9aa3c5aa8e2f37a-Abstract.html>

Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds. / Antoniadis, Antonios; Coester, Christian ; Polak, Adam et al.
35th Conference on Neural Information Processing Systems (NeurIPS 2021). 2021. (Advances in Neural Information Processing Systems; Vol. 34).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds

AU - Antoniadis, Antonios

AU - Coester, Christian

AU - Polak, Adam

AU - Simon, Bertrand

AU - Elias, Marek

N1 - Conference code: 35

PY - 2021

Y1 - 2021

UR - https://proceedings.neurips.cc/paper/2021/file/8b8388180314a337c9aa3c5aa8e2f37a-Paper.pdf

M3 - Conference contribution

T3 - Advances in Neural Information Processing Systems

BT - 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

T2 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021

Y2 - 6 December 2021 through 14 December 2021

ER -

Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds

Publication series

Conference

Access to Document

Other files and links

Cite this