Conference item
On the Nisan-Ronen conjecture for submodular valuations
- Abstract:
- We consider incentive compatible mechanisms for a domain that is very close to the domain of scheduling n unrelated machines: the single exception is that the valuation of just one machine is submodular. For the scheduling problem with such cost functions, we give a lower bound of Ω(√n) on the approximation ratio of incentive compatible deterministic mechanisms. This is a strong information-theoretic impossibility result on the approximation ratio of mechanisms that provides strong evidence for the Nisan-Ronen conjecture. This is the first non-constant lower bound that assumes no restriction on the mechanism side; in contrast, all previous general results hold for only special classes of mechanisms such as local, strongly monotone, and anonymous mechanisms. Our approach is based on a novel multi-player characterization of appropriately selected instances that allows us to focus on particular type of algorithms, linear mechanisms, and it is a potential stepping stone towards the full resolution of the conjecture.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 350.6KB, Terms of use)
-
- Publisher copy:
- 10.1145/3357713.3384299
Authors
+ European Commission
More from this funder
- Funder identifier:
- https://ror.org/00k4n6c32
- Grant:
- 321171
- Publisher:
- Association for Computing Machinery
- Host title:
- STOC 2020: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing
- Pages:
- 1086-1096
- Publication date:
- 2020-06-22
- Acceptance date:
- 2020-02-12
- Event title:
- 52nd Annual ACM SIGACT Symposium on Theory of Computing (STOC 2020)
- Event location:
- Virtual event
- Event website:
- http://acm-stoc.org/stoc2020/
- Event start date:
- 2020-06-22
- Event end date:
- 2020-06-26
- DOI:
- ISSN:
-
0737-8017
- ISBN:
- 9781450369794
- Language:
-
English
- Keywords:
- Pubs id:
-
1078847
- Local pid:
-
pubs:1078847
- Deposit date:
-
2021-05-06
Terms of use
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2020
- Rights statement:
- © 2020 Association for Computing Machinery.
- Notes:
- This is the accepted manuscript version of the paper. The final version is available online from Association for Computing Machinery at https://dx.doi.org/10.1145/3357713.3384299
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