Results 1 to 10 of about 2,699 (261)
On the Asymptotic Optimality of a Low-Complexity Coding Strategy for WSS, MA, and AR Vector Sources [PDF]
Entropy, 2020 In this paper, we study the asymptotic optimality of a low-complexity coding strategy for Gaussian vector sources. Specifically, we study the convergence speed of the rate of such a coding strategy when it is used to encode the most relevant vector ...
Jesús Gutiérrez-Gutiérrez +2 more
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Step-stress accelerated degradation test for Inverse Gaussian process based on M-optimality criterion [PDF]
Scientific ReportsStep-Stress Accelerated Degradation Test (SSADT) has been extensively employed in reliability assessment of degradation-induced failure products, with growing attention focused on its optimal design.
Jiayin Tang, Hao Zhou
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Stochastic Systems, 2015 We consider a queueing system composed of a dispatcher that routes jobs to a set of non-observable queues working in parallel. In this setting, the fundamental problem is which policy should the dispatcher implement to minimize the stationary mean ...
Jonatha Anselmi +2 more
exaly +5 more sources
Asymptotic optimality theory for active quickest detection with unknown postchange parameters [PDF]
Sequential Analysis, 2023 Yajun Mei, Qunzhi Xu
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Asymptotic optimality in stochastic optimization [PDF]
The Annals of Statistics, 2021 We study local complexity measures for stochastic convex optimization problems, providing a local minimax theory analogous to that of Hájek and Le Cam for classical statistical problems. We give complementary optimality results, developing fully online methods that adaptively achieve optimal convergence guarantees. Our results provide function-specific
Duchi, John C., Ruan, Feng
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Only Classical Parameterised States have Optimal Measurements under Least Squares Loss [PDF]
Quantum, 2023 Measurements of quantum states form a key component in quantum-information processing. It is therefore an important task to compare measurements and furthermore decide if a measurement strategy is optimal.
Wilfred Salmon +2 more
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Asymptotic Optimality for Decentralised Bandits [PDF]
Dynamic Games and Applications, 2022 AbstractWe consider a large number of agents collaborating on a multi-armed bandit problem with a large number of arms. The goal is to minimise the regret of each agent in a communication-constrained setting. We present a decentralised algorithm which builds upon and improves the Gossip-Insert-Eliminate method of Chawla et al. (International conference
Conor Newton +2 more
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Revisiting the Asymptotic Optimality of RRT [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 RRT* is one of the most widely used sampling-based algorithms for asymptotically-optimal motion planning. This algorithm laid the foundations for optimality in motion planning as a whole, and inspired the development of numerous new algorithms in the field, many of which build upon RRT* itself.
Kiril Solovey +4 more
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Planning Accelerated Life Tests for Burr Type X Failure Model with Type I Censoring [PDF]
Journal of Statistical Theory and Applications (JSTA), 2013 In this paper, we discuss the optimal accelerated life test plans for Burr type X distribution with log-linear model under periodic inspection and Type I censoring.
Nesar Ahmad, Sabiha Khan, M.G.M. Khan
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Discrete Dynamics in Nature and Society, 2022 This paper is concerned with the asymptotic optimality of quantized stationary policies for continuous-time Markov decision processes (CTMDPs) in Polish spaces with state-dependent discount factors, where the transition rates and reward rates are allowed
Xiao Wu, Yanqiu Tang
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