Suchergebnisse - "algorithms with oracles"

A Constrained Particle Swarm Optimization Algorithm with Oracle Penalty Method von Dong, Ming Gang, Cheng, Xiao Hui, Niu, Qin Zhou

“… To solve constrained optimization problems, an Oracle penalty method-based comprehensive learning particle swarm optimization (OBCLPSO) algorithm was proposed …”
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dataxu Launches Open AI for Ads Initiative: Open AI for Ads powers its first algorithm with Oracle Data Cloud

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Complexity Classes for Online Problems with and without Predictions von Berg, Magnus, Boyar, Joan, Favrholdt, Lene M, Larsen, Kim S

“… online algorithms with oracle advice, but predictions of uncertain quality is a very different matter …”
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Local volumetric error calibration of a weak stiffness on-machine measuring device with a new 3-D calibrator von Li, Helin, Lin, Bin, Sui, Tianyi, Huang, Tian, Liu, Haitao, Yu, Fukan, Zhao, Pengcheng, Jia, Yueting, Zhu, Fuan

“… Subsequently, a smoothly clipped absolute deviation (SCAD) regularization algorithm with oracle property is introduced to identify equivalent coefficients as well as select …”
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Group Variable Selection with Oracle Property by Weight-Fused Adaptive Elastic Net Model for Strongly Correlated Data von Fu, Guang-Hui, Zhang, Wen-Ming, Dai, Lin, Fu, Ying-Zi

“… ) (Zou and Zhang, 2009 ), and a new group variable selection algorithm with oracle property (Fan and Li, 2001 ; Zou, 2006 ) is obtained …”
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Quantum algorithm to find invariant linear structure of MD hash functions von Wu, WanQing, Zhang, HuanGuo, Mao, ShaoWu, Wang, HouZhen

“… .” We present a quantum algorithm with “Oracle” to solve this problem. The successful probability of the quantum algorithm is ( 2 l - 1 2 l …”
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Derandomization vs. Lower Bounds for Arthur-Merlin Protocols von Mocelin Sdroievski, Nicollas

“… The subfield of derandomization in computational complexity theory aims to understand the conditions under which randomness can be efficiently reduced or …”
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Federated Learning under Distributed Concept Drift von Jothimurugesan, Ellango, Hsieh, Kevin, Wang, Jianyu, Joshi, Gauri, Gibbons, Phillip B

“… Federated Learning (FL) under distributed concept drift is a largely unexplored area. Although concept drift is itself a well-studied phenomenon, it poses …”
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Lifelong Bandit Optimization: No Prior and No Regret von Schur, Felix, Kassraie, Parnian, Rothfuss, Jonas, Krause, Andreas

“… Machine learning algorithms are often repeatedly applied to problems with similar structure over and over again. We focus on solving a sequence of bandit …”
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Adaptively Exploiting d-Separators with Causal Bandits von Bilodeau, Blair, Wang, Linbo, Roy, Daniel M

“… Ideally, an algorithm should be adaptive; that is, perform nearly as well as an algorithm with oracle knowledge of the presence or absence of a d-separator …”
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Minimizing Convex Functions with Rational Minimizers von Jiang, Haotian

“… Given a separation oracle \(\mathsf{SO}\) for a convex function \(f\) defined on \(\mathbb{R}^n\) that has an integral minimizer inside a box with radius …”
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A polynomial-time algorithm for learning nonparametric causal graphs von Gao, Ming, Ding, Yi, Aragam, Bryon

“… Compared to an optimal algorithm with oracle knowledge of the variable ordering, the additional cost of the algorithm is linear in the dimension \(d …”
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DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift von Tahmasbi, Ashraf, Jothimurugesan, Ellango, Tirthapura, Srikanta, Gibbons, Phillip B

“… When learning from streaming data, a change in the data distribution, also known as concept drift, can render a previously-learned model inaccurate and require …”
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