Search results for "quasi-newton"

Hits ?▲	Authors	Title	Venue	Year	Link
18	Xiaoxuan Chen, Haishan Feng	A modified stochastic quasi-Newton algorithm for summing functions problem in machine learning.	J. Appl. Math. Comput.	2023	DBLP DOI BibTeX RDF
18	Eduard M. Macías, Rosana Pérez, Hector Jairo Martinez-Romero	On the local convergence of a quasi-Newton method for solving matrix polynomial equations.	Appl. Math. Comput.	2023	DBLP DOI BibTeX RDF
18	Guoqiang Xue, Yiming He, Weiying Chen, Xin Wu, Wanting Song	3-D Inversion Based on the Particle Swarm Optimization-Quasi-Newton Hybrid Algorithm for SOTEM.	IEEE Trans. Geosci. Remote. Sens.	2023	DBLP DOI BibTeX RDF
18	Anton Kullberg, Martin A. Skoglund, Isaac Skog, Gustaf Hendeby	On the Relationship Between Iterated Statistical Linearization and Quasi-Newton Methods.	IEEE Signal Process. Lett.	2023	DBLP DOI BibTeX RDF
18	Fernanda Farias, Alan A. Souza, Reynam da Cruz Pestana	Applying a stochastic quasi-Newton optimizer to least-squares reverse time migration.	Comput. Geosci.	2023	DBLP DOI BibTeX RDF
18	Tao Hong, Luis Hernandez-Garcia, Jeffrey A. Fessler	A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI.	CoRR	2023	DBLP DOI BibTeX RDF
18	Yubo Du, Keyou You	Distributed Adaptive Greedy Quasi-Newton Methods with Explicit Non-asymptotic Convergence Bounds.	CoRR	2023	DBLP DOI BibTeX RDF
18	Shuyuan Wu, Danyang Huang, Hansheng Wang	Quasi-Newton Updating for Large-Scale Distributed Learning.	CoRR	2023	DBLP DOI BibTeX RDF
18	Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari	Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence.	CoRR	2023	DBLP DOI BibTeX RDF
18	Johannes J. Brust, Philip E. Gill	An LDLT Trust-Region Quasi-Newton Method.	CoRR	2023	DBLP DOI BibTeX RDF
18	Ying Wang, Yanlong Zhao, Ji-Feng Zhang	Asymptotically Efficient Quasi-Newton Type Identification with Quantized Observations Under Bounded Persistent Excitations.	CoRR	2023	DBLP DOI BibTeX RDF
18	Aakash Lahoti, Spandan Senapati, Ketan Rajawat, Alec Koppel	Sharpened Lazy Incremental Quasi-Newton Method.	CoRR	2023	DBLP DOI BibTeX RDF
18	Zhan Gao, Aryan Mokhtari, Alec Koppel	Limited-Memory Greedy Quasi-Newton Method with Non-asymptotic Superlinear Convergence Rate.	CoRR	2023	DBLP DOI BibTeX RDF
18	Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb	Provably Convergent Plug-and-Play Quasi-Newton Methods.	CoRR	2023	DBLP DOI BibTeX RDF
18	Gökhan Yilmaz, Ali Özgür Yilmaz	Quasi-Newton Detection in One-Bit Pseudo-Randomly Quantized Wideband Massive MIMO Systems.	CoRR	2023	DBLP DOI BibTeX RDF
18	Ruichen Jiang, Aryan Mokhtari	Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization.	CoRR	2023	DBLP DOI BibTeX RDF
18	Damien Scieur	Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates.	CoRR	2023	DBLP DOI BibTeX RDF
18	Abhishek Kumar Kashyap, Dayal R. Parhi	Dynamic walking of multi-humanoid robots using BFGS Quasi-Newton method aided artificial potential field approach for uneven terrain.	Soft Comput.	2023	DBLP DOI BibTeX RDF
18	Zohre Aminifard, Saman Babaie-Kafaki	A nonmonotone ADMM-based diagonal quasi-Newton Update with Application to the compressive Sensing Problem.	Math. Model. Anal.	2023	DBLP DOI BibTeX RDF
18	Maryam Khoshsimaye-Bargard, Ali Ashrafi	A descent spectral Dai-Liao method based on the quasi-Newton aspects.	Numer. Algorithms	2023	DBLP DOI BibTeX RDF
18	Carlos Andres Arias, Christian Gómez	Inexact free derivative quasi-Newton method for large-scale nonlinear system of equations.	Numer. Algorithms	2023	DBLP DOI BibTeX RDF
18	Zohre Aminifard, Saman Babaie-Kafaki, Fatemeh Dargahi	Nonmonotone Quasi-Newton-based conjugate gradient methods with application to signal processing.	Numer. Algorithms	2023	DBLP DOI BibTeX RDF
18	A. Gautami, J. Shanthini, S. Karthik 0001	A Quasi-Newton Neural Network Based Efficient Intrusion Detection System for Wireless Sensor Network.	Comput. Syst. Sci. Eng.	2023	DBLP DOI BibTeX RDF
18	Qiujiang Jin, Aryan Mokhtari	Non-asymptotic superlinear convergence of standard quasi-Newton methods.	Math. Program.	2023	DBLP DOI BibTeX RDF
18	Qinsi Wang, Wei Hong Yang	Proximal Quasi-Newton Method for Composite Optimization over the Stiefel Manifold.	J. Sci. Comput.	2023	DBLP DOI BibTeX RDF
18	Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling 0001	Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning.	IEEE Trans. Signal Process.	2023	DBLP DOI BibTeX RDF
18	Eduard M. Macías, Rosana Pérez, Héctor Jairo Martínez	Two global quasi-Newton algorithms for solving matrix polynomial equations.	Comput. Appl. Math.	2023	DBLP DOI BibTeX RDF
18	Yasushi Narushima, Shummin Nakayama, Masashi Takemura, Hiroshi Yabe	Memoryless Quasi-Newton Methods Based on the Spectral-Scaling Broyden Family for Riemannian Optimization.	J. Optim. Theory Appl.	2023	DBLP DOI BibTeX RDF
18	Mahsa Yousefi, Angeles Martinez 0001	Deep Neural Networks Training by Stochastic Quasi-Newton Trust-Region Methods.	Algorithms	2023	DBLP DOI BibTeX RDF
18	Ishaq Hafez, Rached Dhaouadi	Identification of Mechanical Parameters in Flexible Drive Systems Using Hybrid Particle Swarm Optimization Based on the Quasi-Newton Method.	Algorithms	2023	DBLP DOI BibTeX RDF
18	Dawrawee Makmuang, Siwakon Suppalap, Rabian Wangkeeree	The regularized stochastic Nesterov's accelerated Quasi-Newton method with applications.	J. Comput. Appl. Math.	2023	DBLP DOI BibTeX RDF
18	Yifan Guo, Zhijun Wang, Wu Guan, Liping Liang, Xin Qiu	A hardware-efficient massive MIMO detector using improved quasi-Newton method.	IEICE Electron. Express	2023	DBLP DOI BibTeX RDF
18	Feng Xiao, Feilong Zhang, Bing Han, Hualiang Zhang	Dynamic Identification for a Manipulator Model based on Stribeck Friction using the Quasi-Newton Iterative Method.	ROBIO	2023	DBLP DOI BibTeX RDF
18	Suquan Zhang, Jincheng Yu, Yuanfan Xu, Yu Wang 0002	UAV Swarm Planning accelerator on FPGA with low latency and fixed-point L-BFGS Quasi-Newton solver.	ICFPT	2023	DBLP DOI BibTeX RDF
18	Shida Wang, Jalal Fadili, Peter Ochs	A Quasi-Newton Primal-Dual Algorithm with Line Search.	SSVM	2023	DBLP DOI BibTeX RDF
18	Ruichen Jiang, Aryan Mokhtari	Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization.	NeurIPS	2023	DBLP BibTeX RDF
18	Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari	Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence.	COLT	2023	DBLP BibTeX RDF
18	Zakaria Mhammedi, Khashayar Gatmiry	Quasi-Newton Steps for Efficient Online Exp-Concave Optimization.	COLT	2023	DBLP BibTeX RDF
18	Xianyang Zhang, Trisha Dawn	Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis.	AISTATS	2023	DBLP BibTeX RDF
18	Dachao Lin, Haishan Ye, Zhihua Zhang	Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
18	Lu Zhang, Bob Carpenter, Andrew Gelman, Aki Vehtari	Pathfinder: Parallel quasi-Newton variational inference.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
18	Nicolas Boutet, Joris Degroote, Rob Haelterman	A symmetric grouped and ordered multi-secant Quasi-Newton update formula.	Optim. Methods Softw.	2022	DBLP DOI BibTeX RDF
18	Albert S. Berahas, Majid Jahani, Peter Richtárik, Martin Takác 0001	Quasi-Newton methods for machine learning: forget the past, just sample.	Optim. Methods Softw.	2022	DBLP DOI BibTeX RDF
18	Morteza Maleknia, Mostafa Shamsi	A quasi-Newton proximal bundle method using gradient sampling technique for minimizing nonsmooth convex functions.	Optim. Methods Softw.	2022	DBLP DOI BibTeX RDF
18	Petar Kunstek, Marko Vrdoljak	A quasi-Newton method in shape optimization for a transmission problem.	Optim. Methods Softw.	2022	DBLP DOI BibTeX RDF
18	Aleksandr Y. Aravkin, Robert J. Baraldi, Dominique Orban	A Proximal Quasi-Newton Trust-Region Method for Nonsmooth Regularized Optimization.	SIAM J. Optim.	2022	DBLP DOI BibTeX RDF
18	Hao-Jun Michael Shi, Yuchen Xie, Richard H. Byrd, Jorge Nocedal	A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization.	SIAM J. Optim.	2022	DBLP DOI BibTeX RDF
18	Woon Huei Chai, Shen-Shyang Ho, Hiok Chai Quek	A Novel Quasi-Newton Method for Composite Convex Minimization.	Pattern Recognit.	2022	DBLP DOI BibTeX RDF
18	Benjámin Borsos, János Karátson	Quasi-Newton Iterative Solution of Non-Orthotropic Elliptic Problems in 3D with Boundary Nonlinearity.	Comput. Methods Appl. Math.	2022	DBLP DOI BibTeX RDF
18	Mahmoud Muhammad Yahaya, Poom Kumam, Aliyu Muhammed Awwal, Parin Chaipunya, Sani Aji, Sani Salisu	A New Generalized Quasi-Newton Algorithm Based on Structured Diagonal Hessian Approximation for Solving Nonlinear Least-Squares Problems With Application to 3DOF Planar Robot Arm Manipulator.	IEEE Access	2022	DBLP DOI BibTeX RDF
18	Kui Xiong, Guolong Cui, Xianxiang Yu, Shiyuan Wang, Lingjiang Kong	Joint Estimation of Target Range and Velocity for Radar System via Complex-Valued Kernel Quasi-Newton Method.	IEEE Trans. Instrum. Meas.	2022	DBLP DOI BibTeX RDF
18	Azam Asl, Haihao Lu	A J-Symmetric Quasi-Newton Method for Minimax Problems.	CoRR	2022	DBLP BibTeX RDF
18	Cian Naik, Judith Rousseau, Trevor Campbell	Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement.	CoRR	2022	DBLP DOI BibTeX RDF
18	Hardik Kothari	Nonlinear Schwarz preconditioning for Quasi-Newton methods.	CoRR	2022	DBLP DOI BibTeX RDF
18	Xianyang Zhang, Trisha Dawn	Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis.	CoRR	2022	DBLP DOI BibTeX RDF
18	Thomas Spenke, Michel Make, Norbert Hosters	A Robin-Neumann Scheme with Quasi-Newton Acceleration for Partitioned Fluid-Structure Interaction.	CoRR	2022	DBLP DOI BibTeX RDF
18	Mahsa Yousefi, Angeles Martinez 0001	On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning.	CoRR	2022	DBLP DOI BibTeX RDF
18	Jarad Forristal, Joshua Griffin, Wenwen Zhou, Seyed Alireza Yektamaram	A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization.	CoRR	2022	DBLP DOI BibTeX RDF
18	Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sebastien Gros	Quasi-Newton Iteration in Deterministic Policy Gradient.	CoRR	2022	DBLP DOI BibTeX RDF
18	Lantian Zhang, Lei Guo 0001	A Two-Step Quasi-Newton Identification Algorithm for Stochastic Systems with Saturated Observations.	CoRR	2022	DBLP DOI BibTeX RDF
18	Zakaria Mhammedi, Khashayar Gatmiry	Quasi-Newton Steps for Efficient Online Exp-Concave Optimization.	CoRR	2022	DBLP DOI BibTeX RDF
18	Isaac Liao, Rumen R. Dangovski, Jakob N. Foerster, Marin Soljacic	Learning to Optimize Quasi-Newton Methods.	CoRR	2022	DBLP DOI BibTeX RDF
18	Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling 0001	Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I.	CoRR	2022	DBLP BibTeX RDF
18	Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian	A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization.	Math. Oper. Res.	2022	DBLP DOI BibTeX RDF
18	Leonardo A. Sousa, Susana Scheimberg, Pedro Jorge Sousa dos Santos, Paulo Sérgio Marques dos Santos	A quasi-Newton type method for equilibrium problems.	Numer. Algorithms	2022	DBLP DOI BibTeX RDF
18	Shizhen Huang, Anhua Guo, Kaikai Su, Siyu Chen, Ruiqi Chen	Implementation of quasi-Newton algorithm on FPGA for IoT endpoint devices.	Int. J. Secur. Networks	2022	DBLP DOI BibTeX RDF
18	Minghan Yang, Andre Milzarek, Zaiwen Wen, Tong Zhang 0001	A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization.	Math. Program.	2022	DBLP DOI BibTeX RDF
18	Anton Rodomanov, Yurii E. Nesterov	Rates of superlinear convergence for classical quasi-Newton methods.	Math. Program.	2022	DBLP DOI BibTeX RDF
18	Kai Qi, Hu Yang 0001	Joint rescaled asymmetric least squared nonparallel support vector machine with a stochastic quasi-Newton based algorithm.	Appl. Intell.	2022	DBLP DOI BibTeX RDF
18	Saman Babaie-Kafaki, Zohre Aminifard, Saeide Ghafoori	A hybrid quasi-Newton method with application in sparse recovery.	Comput. Appl. Math.	2022	DBLP DOI BibTeX RDF
18	Leandro da Fonseca Prudente, Danilo Rodrigues Souza	A Quasi-Newton Method with Wolfe Line Searches for Multiobjective Optimization.	J. Optim. Theory Appl.	2022	DBLP DOI BibTeX RDF
18	S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai	Accelerating Symmetric Rank-1 Quasi-Newton Method with Nesterov's Gradient for Training Neural Networks.	Algorithms	2022	DBLP DOI BibTeX RDF
18	Qingsong Zhang, Feihu Huang, Cheng Deng, Heng Huang	Faster Stochastic Quasi-Newton Methods.	IEEE Trans. Neural Networks Learn. Syst.	2022	DBLP DOI BibTeX RDF
18	Xiaoyi Jiang 0003, Yuxin Wang, Jie Yuan	Fast Full-Wave Inversion with Quasi-Newton Method Based Speed of Sound Imaging.	ICIS	2022	DBLP DOI BibTeX RDF
18	Xia Wang, Hongwei Ge, Liang Sun 0003, Xinming Zhang 0002	Random Learning Particle Swarm Optimization with Quasi-Newton Exploitation Mechanism.	CEC	2022	DBLP DOI BibTeX RDF
18	Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sébastien Gros	Quasi-Newton Iteration in Deterministic Policy Gradient.	ACC	2022	DBLP DOI BibTeX RDF
18	Yichuan Li 0004, Petros G. Voulgaris, Nikolaos M. Freris	A Communication Efficient Quasi-Newton Method for Large-Scale Distributed Multi-Agent Optimization.	ICASSP	2022	DBLP DOI BibTeX RDF
18	Yubo Du, Keyou You	Adaptive Greedy Quasi-Newton with Superlinear Rate and Global Convergence Guarantee.	CDC	2022	DBLP DOI BibTeX RDF
18	Chengchang Liu, Shuxian Bi, Luo Luo, John C. S. Lui	Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality.	KDD	2022	DBLP DOI BibTeX RDF
18	S. Indrapriyadarsini, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai	On the Practical Robustness of the Nesterov's Accelerated Quasi-Newton Method.	AAAI	2022	DBLP DOI BibTeX RDF
18	S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai	A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract).	AAAI	2022	DBLP DOI BibTeX RDF
18	Vassilios Yfantis, Martin Ruskowski	A Hierarchical Dual Decomposition-based Distributed Optimization Algorithm combining Quasi-Newton Steps and Bundle Methods.	MED	2022	DBLP DOI BibTeX RDF
18	Chengchang Liu, Luo Luo	Quasi-Newton Methods for Saddle Point Problems.	NeurIPS	2022	DBLP BibTeX RDF
18	Cian Naik, Judith Rousseau, Trevor Campbell	Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement.	NeurIPS	2022	DBLP BibTeX RDF
18	Qiujiang Jin, Alec Koppel, Ketan Rajawat, Aryan Mokhtari	Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood.	ICML	2022	DBLP BibTeX RDF
18	Di Wang 0010, Xiaosu Xu 0001, Yang Yang, Tao Zhang 0008	A Quasi-Newton Quaternions Calibration Method for DVL Error Aided GNSS.	IEEE Trans. Veh. Technol.	2021	DBLP DOI BibTeX RDF
18	Pedro Hespanhol, Rien Quirynen	Adjoint-based SQP method with block-wise quasi-Newton Jacobian updates for nonlinear optimal control.	Optim. Methods Softw.	2021	DBLP DOI BibTeX RDF
18	Anton Rodomanov, Yurii E. Nesterov	Greedy Quasi-Newton Methods with Explicit Superlinear Convergence.	SIAM J. Optim.	2021	DBLP DOI BibTeX RDF
18	Hassan Mohammad, Aliyu Muhammed Awwal, Auwal Bala Abubakar, Ahmad Salihu Ben Musa	On the derivative-free quasi-Newton-type algorithm for separable systems of nonlinear equations.	RAIRO Oper. Res.	2021	DBLP DOI BibTeX RDF
18	David Ek, Anders Forsgren	Exact linesearch limited-memory quasi-Newton methods for minimizing a quadratic function.	Comput. Optim. Appl.	2021	DBLP DOI BibTeX RDF
18	Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe	Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions.	Comput. Optim. Appl.	2021	DBLP DOI BibTeX RDF
18	Jie Guo, Zhong Wan	A new three-term spectral conjugate gradient algorithm with higher numerical performance for solving large scale optimization problems based on Quasi-Newton equation.	Int. J. Model. Simul. Sci. Comput.	2021	DBLP DOI BibTeX RDF
18	Pengli Ji, Kun He 0001, Zhengli Wang, Yan Jin 0005, Jigang Wu	A Quasi-Newton-based Floorplanner for fixed-outline floorplanning.	Comput. Oper. Res.	2021	DBLP DOI BibTeX RDF
18	Deshan Feng, Xun Wang, Bin Zhang 0034	A Frequency-Domain Quasi-Newton-Based Biparameter Synchronous Imaging Scheme for Ground-Penetrating Radar With Applications in Full Waveform Inversion.	IEEE Trans. Geosci. Remote. Sens.	2021	DBLP DOI BibTeX RDF
18	Huiping Cao, Xiaomin An	A Sparse Quasi-Newton Method Based on Automatic Differentiation for Solving Unconstrained Optimization Problems.	Symmetry	2021	DBLP DOI BibTeX RDF
18	Danny Smyl, Tyler N. Tallman, Dong Liu 0007, Andreas Hauptmann	An Efficient Quasi-Newton Method for Nonlinear Inverse Problems via Learned Singular Values.	IEEE Signal Process. Lett.	2021	DBLP DOI BibTeX RDF
18	David Lee	An energetically balanced, quasi-Newton integrator for non-hydrostatic vertical atmospheric dynamics.	J. Comput. Phys.	2021	DBLP DOI BibTeX RDF
18	Adrian G. Wills, Thomas B. Schön	Stochastic quasi-Newton with line-search regularisation.	Autom.	2021	DBLP DOI BibTeX RDF
18	Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi	Asynchronous parallel stochastic Quasi-Newton methods.	Parallel Comput.	2021	DBLP DOI BibTeX RDF
18	Jingyong Tang, Jinchuan Zhou	A smoothing quasi-Newton method for solving general second-order cone complementarity problems.	J. Glob. Optim.	2021	DBLP DOI BibTeX RDF