Search Results - "Non-convex optimization algorithms"

Combined non-convex optimization algorithms based on differential evolution, harmony search, firefly, and L-BFGS methods by Sorokovikov, P, Gornov, A

“… Three combined non-convex optimization algorithms are proposed and implemented. As globalized bioinspired methods, differential evolution, harmony search, and firefly methods are used…”
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How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms by Wainer, Jacques, Fonseca, Pablo

“…SVM with an RBF kernel is usually one of the best classification algorithms for most data sets, but it is important to tune the two hyperparameters C and γ to…”
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Joint Optimization of Waveform Covariance Matrix and Antenna Selection for MIMO Radar by Bose, Arindam, Khobahi, Shahin, Soltanalian, Mojtaba

“…In this paper, we investigate the problem of jointly optimizing the waveform covariance matrix and the antenna position vector for…”
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A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison by Zhang, Tingting, Pham, Minh, Sun, Jianhui, Yan, Guofen, Li, Huazhang, Sun, Yinge, Gonzalez, Marlen Z., Coan, James A.

“…The focus of this paper is on evaluating brain responses to different stimuli and identifying brain regions with different responses using multi-subject,…”
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Non-convex optimization for inverse problem solving in computer-generated holography by Sui, Xiaomeng, He, Zehao, Chu, Daping, Cao, Liangcai

“… Various non-convex optimization algorithms are thus designed to seek an optimal solution by introducing different constraints…”
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Fundamental Limits of Weak Recovery with Applications to Phase Retrieval by Mondelli, Marco, Montanari, Andrea

“…In phase retrieval, we want to recover an unknown signal x ∈ C d from n quadratic measurements of the form y i = | ⟨ a i , x ⟩ | 2 + w i , where a i ∈ C d are…”
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Exact continuous relaxations of ℓ0-regularized criteria with non-quadratic data terms by Essafri, Mhamed, Calatroni, Luca, Soubies, Emmanuel

“…We consider the minimization of ℓ0-regularized criteria involving non-quadratic data terms such as the Kullback-Leibler divergence and the logistic regression,…”
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Direction-of-Arrival Estimation Through Exact Continuous ℓ2,0-Norm Relaxation by Soubies, Emmanuel, Chinatto, Adilson, Larzabal, Pascal, Romano, Joao M. T., Blanc-Feraud, Laure

“… This relaxation is more amenable to non-convex optimization algorithms as it is continuous and admits less local (not global…”
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Intelligent Waveform Design for Integrated Sensing and Communication by Zhang, Jifa, Guo, Shaoyong, Gong, Shiqi, Xing, Chengwen, Zhao, Nan, Kwan Ng, Derrick Wing, Niyato, Dusit

“… entails high-complexity, non-convex optimization algorithms, hindering its practical online deployment…”
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Fast and Guaranteed Blind Multichannel Deconvolution Under a Bilinear System Model by Lee, Kiryung, Tian, Ning, Romberg, Justin

“…We consider the multichannel blind deconvolution problem where we observe the output of multiple channels that are all excited with the same unknown input…”
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Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization by Bianchi, P., Jakubowicz, J.

“…We introduce a new framework for the convergence analysis of a class of distributed constrained non-convex optimization algorithms in multi-agent systems…”
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Integrated structure and control design for mechatronic systems with configuration-dependent dynamics by da Silva, Maíra Martins, Brüls, Olivier, Desmet, Wim, Van Brussel, Hendrik

“… The optimization problem is treated using the direct design strategy which considers simultaneously structural and control parameters as variables and adopts non-convex optimization algorithms…”
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Efficiency of machine learning optimizers and meta-optimization for nanophotonic inverse design tasks by Morrison, Nathaniel, Ma, Eric Y.

“…The success of deep learning has driven the proliferation and refinement of numerous non-convex optimization algorithms…”
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Exact continuous relaxations of $$\ell _0$$-regularized criteria with non-quadratic data terms by Essafri, Mhamed, Calatroni, Luca, Soubies, Emmanuel

“…We consider the minimization of $$\ell _0$$ ℓ 0 -regularized criteria involving non-quadratic data terms such as the Kullback-Leibler divergence and the…”
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Exact continuous relaxations of ℓ0-regularized criteria with non-quadratic data terms: Exact continuous relaxations of ℓ0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ell _0$$\end{document}-regularized by Essafri, Mhamed, Calatroni, Luca, Soubies, Emmanuel

“…We consider the minimization of ℓ 0 -regularized criteria involving non-quadratic data terms such as the Kullback-Leibler divergence and the logistic…”
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Adaptive thresholding for iterative matrix completion with heterogeneous missing probability: H-AdaptiveImpute by Han, Solji, Kim, Donggyu, Kim, Hyunjoong

“… In particular, the initialization of the non-convex optimization algorithms plays a pivotal role…”
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Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval by Agrawal, Rohun, Leong, Oscar

“… Recent advancements in using denoisers as regularizers for non-convex optimization algorithms have shown promising performance…”
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Direction-of-Arrival Estimation through Exact Continuous l20-Norm Relaxation by Soubies, Emmanuel, Chinatto, Adilson, Larzabal, Pascal, Romano, João M T, Blanc-Féraud, Laure

“… This relaxation is more amenable to non-convex optimization algorithms as it is continuous and admits less local (not global…”
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Improved Non Convex Optimization Algorithm for Reconstruction of Sparse Signals by Ronggen Yang, Mingwu Ren

“…It is now well understood that it is possible to reconstruct sparse signals exactly from what appear to be highly incomplete sets of linear measurements. The…”
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Robust Gain-Scheduled PID Control: A Parameter Dependent BMI Solution by Shao, Pengyuan, Wu, Jin, Ma, Songhui

“… with. Robust control based on norm theory and convex and non-convex optimization algorithms is a powerful tool to solve these problems in theory, but it is employed rarely in applications…”
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