Optimal dynamic distributed MIS
K Censor-Hillel, E Haramaty, Z Karnin - … on Principles of Distributed …, 2016 - dl.acm.org
… set (MIS) in the network graph. The cornerstone MIS problem admits fast distributed solutions
… to the extreme and present an MIS algorithm for the dynamic distributed setting, which …
… to the extreme and present an MIS algorithm for the dynamic distributed setting, which …
Optimal dynamic control of resources in a distributed system
… in distributed systems has usually been handled in an ad hoc fashion. This trend could eliminate
the advantages of distributed … for optimally controlling resources in a distributed system. …
the advantages of distributed … for optimally controlling resources in a distributed system. …
Distributed near-maximum independent set maintenance over large-scale dynamic graphs
… distributed dynamic MIS, which is defined as follows: Given a graph G, compute the MIS of G
in distributed environments when G dynamically … we review the distributed algorithm for MIS …
in distributed environments when G dynamically … we review the distributed algorithm for MIS …
Multi-agent based distributed mis selection for dynamic job scheduling
K Kundu, A Dutta - 2020 IEEE/WIC/ACM International Joint …, 2020 - ieeexplore.ieee.org
… The main aim of this paper is to design a distributed MIS selection algorithm for a vertex
dynamic graph which in turn is capable of solving Dynamic Job Scheduling problem. …
dynamic graph which in turn is capable of solving Dynamic Job Scheduling problem. …
Near-optimal distributed implementations of dynamic algorithms for symmetry-breaking problems
… Our main result for this paper is solving the dynamic, distributed MIS problem; hence, we
spend the remainder of this section on its challenges and solutions. We use the ideas we obtain …
spend the remainder of this section on its challenges and solutions. We use the ideas we obtain …
Bayesian Machine Learning for Estimating Optimal Dynamic Treatment Regimes with Ordinal Outcomes
X Wang, T Chakraborty, B Chakraborty - arXiv preprint arXiv:2503.06199, 2025 - arxiv.org
… -2 optimal decision rules. We then integrate the predictive distribution of the outcome Y mis
1 for those who do not receive the corresponding stage-2 optimal decision rule to take into …
1 for those who do not receive the corresponding stage-2 optimal decision rule to take into …
Targeted learning of an optimal dynamic treatment, and statistical inference for its mean outcome
MJ van der Laan, AR Luedtke - 2014 - biostats.bepress.com
… We characterize the optimal dynamic treatment as a … data adaptive estimators of this optimal
dynamic regimen, utilizing … candidate estimators of the optimal dynamic regimens) based on …
dynamic regimen, utilizing … candidate estimators of the optimal dynamic regimens) based on …
Optimal dynamic mechanism design and the virtual-pivot mechanism
… We present the virtual-pivot mechanism, which is optimal in a … does not produce optimal
dynamic mechanisms in general … settings where we can design optimal dynamic mechanisms. …
dynamic mechanisms in general … settings where we can design optimal dynamic mechanisms. …
Achieving optimal dynamic regret for non-stationary bandits without prior information
… optimal arm a with an identified optimality gap ∆a = maxa µ(a ) − µ(a), the learner only needs
to make sure not to miss … trade-off: for a sub-optimal arm with optimality gap ∆a, the learner …
to make sure not to miss … trade-off: for a sub-optimal arm with optimality gap ∆a, the learner …
Estimating optimal dynamic regimes: Correcting bias under the null
EEM Moodie, TS Richardson - Scandinavian Journal of …, 2010 - Wiley Online Library
… In 2004, James Robins proposed g–estimation using structural nested mean models (SNMMs)
for making inference about the optimal dynamic regime in a multi-interval trial. The …
for making inference about the optimal dynamic regime in a multi-interval trial. The …
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