Results 51 to 60 of about 4,222 (117)
Optimizing Optimizers: Regret-optimal gradient descent algorithms
CoRR, 2020 Proceedings of Thirty Fourth Conference on Learning ...
Philippe Casgrain, Anastasis Kratsios
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Database-Inspired Optimizations for Statistical Analysis
Journal of Statistical Software, 2018 Computing complex statistics on large amounts of data is no longer a corner case, but a daily challenge. However, current tools such as GNU R were not built to efficiently handle large data sets. We propose to vastly improve the execution of R scripts by
Hannes Mühleisen +2 more
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Profile-based optimizations for JavaScript programs
Труды Института системного программирования РАН, 2018 In recent years, JavaScript has become one of the most popular programming languages on the web. Many massive applications are written using JavaScript, such as Gmail, Google docs, etc. JavaScript is also used in the Node.js - server-side web application
V. . Vardanyan
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Entropy, 2018 Combining entransy theory with constructal theory, this mini-review paper summarizes the constructal optimization work of heat conduction, convective heat transfer, and mass transfer problems during the authors’ working time in the Naval University of ...
Lingen Chen, Qinghua Xiao, Huijun Feng
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Optimal Algorithms for Distributed Optimization
CoRR, 2017 In this paper, we study the optimal convergence rate for distributed convex optimization problems in networks. We model the communication restrictions imposed by the network as a set of affine constraints and provide optimal complexity bounds for four different setups, namely: the function $F(\xb) \triangleq \sum_{i=1}^{m}f_i(\xb)$ is strongly convex ...
César A. Uribe +3 more
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Journal of Low Power Electronics and ApplicationsRecent advances in biologically inspired neural computation have sparked increasing interest in developing hardware-efficient architectures capable of emulating brain-like cognitive abilities like low power consumption and less inference latency. However,
Alishba Masood, Muhammad Khurram
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Dynamic and ahead of time optimization for JavaScript programs
Труды Института системного программирования РАН, 2018 The paper is dedicated to performance improvement of JavaScript programs. In this work we examine the specifics of dynamic optimizations in JIT-compiler for JavaScript, and how the performance of such optimizations can be improved.
Roman Zhuykov +5 more
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Recent progress in global optimizations of covariant energy density functionals [PDF]
EPJ Web of ConferencesThe recent progress on global optimizations of covariant energy density functionals (CEDFs) and global calculations of binding energies within the covariant density functional theory (CDFT) has been analyzed and reviewed. Recently developed anchor-based
Afanasjev A. V., Osei B., Dalbah A.
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Rethinking Energy-Efficient Computing Through Transistor Arithmetic Density
IEEE Open Journal of the Computer SocietyEnergy-efficiency gains enabled by transistor scaling are approaching saturation, highlighting the need to prepare a post-transistor-scaling era in which further reductions in operational voltage and capacitance by shrinking transistor size are no longer
JunKyu Lee +6 more
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A Random-Key optimizer for combinatorial optimization [PDF]
Journal of Heuristics54 pages, 16 figures, 8 ...
Antonio Augusto Chaves +6 more
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