Search results for "quasi-newton"

Hits ?▲	Authors	Title	Venue	Year	Link
18	Chengchang Liu, Luo Luo	Quasi-Newton Methods for Saddle Point Problems and Beyond.	CoRR	2021	DBLP BibTeX RDF
18	Jiahua Luo, Chi-Man Vong, Jie Du 0001	Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification.	CoRR	2021	DBLP BibTeX RDF
18	Yi Ren 0007, Donald Goldfarb	Kronecker-factored Quasi-Newton Methods for Convolutional Neural Networks.	CoRR	2021	DBLP BibTeX RDF
18	Qiujiang Jin, Aryan Mokhtari	Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach.	CoRR	2021	DBLP BibTeX RDF
18	S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai	A modified limited memory Nesterov's accelerated quasi-Newton.	CoRR	2021	DBLP BibTeX RDF
18	Raghu Bollapragada, Stefan M. Wild	Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization.	CoRR	2021	DBLP BibTeX RDF
18	Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban	L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method.	CoRR	2021	DBLP BibTeX RDF
18	Guotong Ren, Rami M. Younis	A Quasi-Newton method for physically-admissible simulation of Poiseuille flow under fracture propagation.	CoRR	2021	DBLP BibTeX RDF
18	Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon	Quasi-Newton policy gradient algorithms.	CoRR	2021	DBLP BibTeX RDF
18	Lu Zhang, Bob Carpenter, Andrew Gelman, Aki Vehtari	Pathfinder: Parallel quasi-Newton variational inference.	CoRR	2021	DBLP BibTeX RDF
18	Wah June Leong, Sharareh Enshaei, Sie Long Kek	Diagonal quasi-Newton methods via least change updating principle with weighted Frobenius norm.	Numer. Algorithms	2021	DBLP DOI BibTeX RDF
18	Razieh Dehghani, Narges Bidabadi, Mohammad-Mehdi Hosseini 0001	Using nonlinear functions to approximate a new quasi-Newton method for unconstrained optimization problems.	Numer. Algorithms	2021	DBLP DOI BibTeX RDF
18	Anton Rodomanov, Yurii E. Nesterov	New Results on Superlinear Convergence of Classical Quasi-Newton Methods.	J. Optim. Theory Appl.	2021	DBLP DOI BibTeX RDF
18	Mohamad Khattar Awad, Ali A. M. R. Behiry, Mohammed W. Baidas	User association for load balancing in coordinated multipoint green HetNets: A Quasi-Newton-based approach.	Phys. Commun.	2021	DBLP DOI BibTeX RDF
18	Mahmoud Muhammad Yahaya, Poom Kumam, Aliyu Muhammed Awwal, Sani Aji	A structured quasi-Newton algorithm with nonmonotone search strategy for structured NLS problems and its application in robotic motion control.	J. Comput. Appl. Math.	2021	DBLP DOI BibTeX RDF
18	Sagar Kavaiya, Dhaval K. Patel, Yong Liang Guan 0001, Sumei Sun, Yoong Choon Chang, Joanne Mun-Yee Lim	Distributed Spectrum Sensing for Cognitive Vehicular Networks using Quasi-Newton Optimization.	COMSNETS	2021	DBLP DOI BibTeX RDF
18	Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban	L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method.	CDC	2021	DBLP DOI BibTeX RDF
18	Minghan Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen	Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods.	CVPR	2021	DBLP BibTeX RDF
18	Dachao Lin, Haishan Ye, Zhihua Zhang	Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence.	NeurIPS	2021	DBLP BibTeX RDF
18	Qiujiang Jin, Aryan Mokhtari	Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach.	NeurIPS	2021	DBLP BibTeX RDF
18	Bethany Witemeyer, Nicholas J. Weidner, Timothy A. Davis 0001, Theodore Kim, Shinjiro Sueda	QLB: Collision-Aware Quasi-Newton Solver with Cholesky and L-BFGS for Nonlinear Time Integration.	MIG	2021	DBLP DOI BibTeX RDF
18	Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal	Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates.	AISTATS	2021	DBLP BibTeX RDF
18	N. Mahdavi-Amiri, F. Salehi Sadaghiani	A superlinearly convergent nonmonotone quasi-Newton method for unconstrained multiobjective optimization.	Optim. Methods Softw.	2020	DBLP DOI BibTeX RDF
18	Brandon D. Amos, David R. Easterling, Layne T. Watson, William I. Thacker, Brent S. Castle, Michael W. Trosset	Algorithm 1007: QNSTOP - Quasi-Newton Algorithm for Stochastic Optimization.	ACM Trans. Math. Softw.	2020	DBLP DOI BibTeX RDF
18	Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag	On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis.	SIAM J. Optim.	2020	DBLP DOI BibTeX RDF
18	Ewout van den Berg	A hybrid quasi-Newton projected-gradient method with application to Lasso and basis-pursuit denoising.	Math. Program. Comput.	2020	DBLP DOI BibTeX RDF
18	Nicolas Boutet, Rob Haelterman, Joris Degroote	Secant update version of quasi-Newton PSB with weighted multisecant equations.	Comput. Optim. Appl.	2020	DBLP DOI BibTeX RDF
18	Luca Bergamaschi, José Marín, Ángeles Martínez 0001	Compact quasi-Newton preconditioners for symmetric positive definite linear systems.	Numer. Linear Algebra Appl.	2020	DBLP DOI BibTeX RDF
18	Mohammad Shukri Salman, Osman Kukrer, Aykut Hocanin	A Fast Quasi-Newton Adaptive Algorithm Based on Approximate Inversion of the Autocorrelation Matrix.	IEEE Access	2020	DBLP DOI BibTeX RDF
18	Yu Jiang, Qiang Liu 0011, Hui Cao, Youjian Song	Peak Detection Based on FPGA Using Quasi-Newton Optimization Method for Femtosecond Laser Ranging.	IEEE Access	2020	DBLP DOI BibTeX RDF
18	Kengo Uchida, Isao Yamada	An ℓ1-penalized adaptive normalized quasi-newton algorithm for sparsity-aware generalized eigen-subspace tracking.	J. Frankl. Inst.	2020	DBLP DOI BibTeX RDF
18	Shuangshuang Xiong, Zhongsheng Hou, Chenkun Yin	Quasi-Newton method based control design for unknown nonlinear systems with input constraints.	Sci. China Inf. Sci.	2020	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.	CoRR	2020	DBLP BibTeX RDF
18	Mark Tuddenham, Adam Prügel-Bennett, Jonathan Hare	Quasi-Newton's method in the class gradient defined high-curvature subspace.	CoRR	2020	DBLP BibTeX RDF
18	S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai	A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning.	CoRR	2020	DBLP BibTeX RDF
18	Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi	Asynchronous Parallel Stochastic Quasi-Newton Methods.	CoRR	2020	DBLP BibTeX RDF
18	Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal	Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates.	CoRR	2020	DBLP BibTeX RDF
18	David Lee	An energetically balanced, quasi-Newton integrator for non-hydrostatic vertical atmospheric dynamics.	CoRR	2020	DBLP BibTeX RDF
18	Thomas Spenke, Norbert Hosters, Marek Behr	A Multi-Vector Interface Quasi-Newton Method with Linear Complexity for Partitioned Fluid-Structure Interaction.	CoRR	2020	DBLP BibTeX RDF
18	Alfonso Santiago, Miguel Zavala-Aké, Ricard Borell, Guillaume Houzeaux, Mariano Vázquez	HPC compact quasi-Newton algorithm for interface problems.	CoRR	2020	DBLP BibTeX RDF
18	Xuezhe Ma	Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization.	CoRR	2020	DBLP BibTeX RDF
18	Brian Irwin, Eldad Haber	Secant Penalized BFGS: A Noise Robust Quasi-Newton Method Via Penalizing The Secant Condition.	CoRR	2020	DBLP BibTeX RDF
18	Donald Goldfarb, Yi Ren 0007, Achraf Bahamou	Practical Quasi-Newton Methods for Training Deep Neural Networks.	CoRR	2020	DBLP BibTeX RDF
18	Benjamin Rüth, Benjamin Uekermann, Miriam Mehl, Philipp Birken, Azahar Monge, Hans-Joachim Bungartz	Quasi-Newton Waveform Iteration for Partitioned Fluid-Structure Interaction.	CoRR	2020	DBLP BibTeX RDF
18	Tuyen Trung Truong, Tat Dat To, Tuan Hang Nguyen, Thu Hang Nguyen, Hoang Phuong Nguyen, Maged Helmy	A modification of quasi-Newton's methods helping to avoid saddle points.	CoRR	2020	DBLP BibTeX RDF
18	Iyanuoluwa Emiola, Chinwendu Enyioha	Online Optimization with Barzilai-Borwein Quasi-Newton Method.	CoRR	2020	DBLP BibTeX RDF
18	Qiujiang Jin, Aryan Mokhtari	Non-asymptotic Superlinear Convergence of Standard Quasi-Newton Methods.	CoRR	2020	DBLP BibTeX RDF
18	Yuxin Yao, Bailin Deng, Weiwei Xu, Juyong Zhang	Quasi-Newton Solver for Robust Non-Rigid Registration.	CoRR	2020	DBLP BibTeX RDF
18	Luca Bergamaschi, José Marín, Angeles Martinez 0001	Compact Quasi-Newton preconditioners for SPD linear systems.	CoRR	2020	DBLP BibTeX RDF
18	Dimitri Rothermel, Thomas Schuster	Solving an inverse heat convection problem with an implicit forward operator by using a Projected Quasi-Newton method.	CoRR	2020	DBLP BibTeX RDF
18	Max L. N. Gonçalves, Fabrícia R. Oliveira	On the global convergence of an inexact quasi-Newton conditional gradient method for constrained nonlinear systems.	Numer. Algorithms	2020	DBLP DOI BibTeX RDF
18	Aryan Mokhtari, Alejandro Ribeiro	Stochastic Quasi-Newton Methods.	Proc. IEEE	2020	DBLP DOI BibTeX RDF
18	Weijun Zhou	A modified BFGS type quasi-Newton method with line search for symmetric nonlinear equations problems.	J. Comput. Appl. Math.	2020	DBLP DOI BibTeX RDF
18	Weijun Zhou, Li Zhang	A modified Broyden-like quasi-Newton method for nonlinear equations.	J. Comput. Appl. Math.	2020	DBLP DOI BibTeX RDF
18	Huiming Chen, Ho-Chun Wu, Shing-Chow Chan, Wong-Hing Lam	A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization With Applications.	IEEE Trans. Neural Networks Learn. Syst.	2020	DBLP DOI BibTeX RDF
18	Majid Jahani, MohammadReza Nazari, Sergey Rusakov 0001, Albert S. Berahas, Martin Takác 0001	Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1.	LOD (1)	2020	DBLP DOI BibTeX RDF
18	Keita Goto, Nakamasa Inoue	Quasi-Newton Adversarial Attacks on Speaker Verification Systems.	APSIPA	2020	DBLP BibTeX RDF
18	Aleksandr Senov, Oleg N. Granichin, Olga Granichina	A Sequential Subspace Quasi-Newton Method for Large-Scale Convex Optimization.	ACC	2020	DBLP DOI BibTeX RDF
18	Abdullah H. Al-Shabili, Hassan Mansour, Petros T. Boufounos	Learning Plug-And-Play Proximal Quasi-Newton Denoisers.	ICASSP	2020	DBLP DOI BibTeX RDF
18	Yuxin Yao, Bailin Deng, Weiwei Xu, Juyong Zhang	Quasi-Newton Solver for Robust Non-Rigid Registration.	CVPR	2020	DBLP BibTeX RDF
18	S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai	A Neural Network Approach to Analog Circuit Design Optimization using Nesterov's Accelerated Quasi-Newton Method.	ISCAS	2020	DBLP DOI BibTeX RDF
18	Donald Goldfarb, Yi Ren 0007, Achraf Bahamou	Practical Quasi-Newton Methods for Training Deep Neural Networks.	NeurIPS	2020	DBLP BibTeX RDF
18	Michael Zhu, Chang Liu 0030, Jun Zhu 0001	Variance Reduction and Quasi-Newton for Particle-Based Variational Inference.	ICML	2020	DBLP BibTeX RDF
18	Saeed Soori, Konstantin Mishchenko, Aryan Mokhtari, Maryam Mehri Dehnavi, Mert Gürbüzbalaban	DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate.	AISTATS	2020	DBLP BibTeX RDF
18	Wenbo Gao, Donald Goldfarb	Quasi-Newton methods: superlinear convergence without line searches for self-concordant functions.	Optim. Methods Softw.	2019	DBLP DOI BibTeX RDF
18	Xiaoyu Wang 0008, Xiao Wang, Ya-Xiang Yuan	Stochastic proximal quasi-Newton methods for non-convex composite optimization.	Optim. Methods Softw.	2019	DBLP DOI BibTeX RDF
18	Nitish Shirish Keskar, Andreas Wächter	A limited-memory quasi-Newton algorithm for bound-constrained non-smooth optimization.	Optim. Methods Softw.	2019	DBLP DOI BibTeX RDF
18	Hongzhou Lin, Julien Mairal, Zaïd Harchaoui	An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration.	SIAM J. Optim.	2019	DBLP DOI BibTeX RDF
18	Albert S. Berahas, Richard H. Byrd, Jorge Nocedal	Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods.	SIAM J. Optim.	2019	DBLP DOI BibTeX RDF
18	Stephen Becker, Jalal Fadili, Peter Ochs	On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence.	SIAM J. Optim.	2019	DBLP DOI BibTeX RDF
18	Cosmin G. Petra, Naiyuan Chiang, Mihai Anitescu	A Structured Quasi-Newton Algorithm for Optimizing with Incomplete Hessian Information.	SIAM J. Optim.	2019	DBLP DOI BibTeX RDF
18	Johannes Brust, Roummel F. Marcia, Cosmin G. Petra	Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints.	Comput. Optim. Appl.	2019	DBLP DOI BibTeX RDF
18	Jacek Gondzio, F. N. C. Sobral	Quasi-Newton approaches to interior point methods for quadratic problems.	Comput. Optim. Appl.	2019	DBLP DOI BibTeX RDF
18	Johannes Brust, Oleg Burdakov, Jennifer B. Erway, Roummel F. Marcia	A dense initialization for limited-memory quasi-Newton methods.	Comput. Optim. Appl.	2019	DBLP DOI BibTeX RDF
18	Xiao Wang 0025, Dacheng Cong, Zhidong Yang, Shengjie Xu, Junwei Han	Modified Quasi-Newton Optimization Algorithm-Based Iterative Learning Control for Multi-Axial Road Durability Test Rig.	IEEE Access	2019	DBLP DOI BibTeX RDF
18	Huiming Chen, Wong-Hing Lam, Shing-Chow Chan	On the Convergence Analysis of Cubic Regularized Symmetric Rank-1 Quasi-Newton Method and the Incremental Version in the Application of Large-Scale Problems.	IEEE Access	2019	DBLP DOI BibTeX RDF
18	Xinming Zhang 0002, Zihao Fu, Haiyan Chen, Wentao Mao, Shangwang Liu, Guoqi Liu	Lévy Flight Shuffle Frog Leaping Algorithm Based on Differential Perturbation and Quasi-Newton Search.	IEEE Access	2019	DBLP DOI BibTeX RDF
18	Minghan Chen, Brandon D. Amos, Layne T. Watson, John J. Tyson, Young Cao, Clifford A. Shaffer, Michael W. Trosset, Cihan Oguz, Gisella Kakoti	Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle.	IEEE ACM Trans. Comput. Biol. Bioinform.	2019	DBLP DOI BibTeX RDF
18	Jiang Hu, Bo Jiang 0010, Lin Lin 0001, Zaiwen Wen, Ya-Xiang Yuan	Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints.	SIAM J. Sci. Comput.	2019	DBLP DOI BibTeX RDF
18	Weiye Zheng, WenChuan Wu 0001	An Adaptive Distributed Quasi-Newton Method for Power System State Estimation.	IEEE Trans. Smart Grid	2019	DBLP DOI BibTeX RDF
18	Cosmin G. Petra	A memory-distributed quasi-Newton solver for nonlinear programming problems with a small number of general constraints.	J. Parallel Distributed Comput.	2019	DBLP DOI BibTeX RDF
18	Ching-pei Lee, Cong Han Lim, Stephen J. Wright 0001	A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization.	CoRR	2019	DBLP BibTeX RDF
18	Sota Yasuda, Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai	A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method.	CoRR	2019	DBLP BibTeX RDF
18	Kai Yang 0006, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang 0001	A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression.	CoRR	2019	DBLP BibTeX RDF
18	Adrian Wills, Thomas B. Schön	Stochastic quasi-Newton with line-search regularization.	CoRR	2019	DBLP BibTeX RDF
18	Pedro Hespanhol, Rien Quirynen	Adjoint-based SQP Method with Block-wise quasi-Newton Jacobian Updates for Nonlinear Optimal Control.	CoRR	2019	DBLP BibTeX RDF
18	Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres	Quasi-Newton Trust Region Policy Optimization.	CoRR	2019	DBLP BibTeX RDF
18	S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai	An Adaptive Stochastic Nesterov Accelerated Quasi Newton Method for Training RNNs.	CoRR	2019	DBLP BibTeX RDF
18	Daniel Steck, Christian Kanzow	Regularization of Limited Memory Quasi-Newton Methods for Large-Scale Nonconvex Minimization.	CoRR	2019	DBLP BibTeX RDF
18	Huiming Chen, H. C. Wu 0001, S. C. Chan 0001, Wong-Hing Lam	A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization with Applications.	CoRR	2019	DBLP BibTeX RDF
18	Albert S. Berahas, Majid Jahani, Martin Takác 0001	Quasi-Newton Methods for Deep Learning: Forget the Past, Just Sample.	CoRR	2019	DBLP BibTeX RDF
18	S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai	Implementation of a modified Nesterov's Accelerated quasi-Newton Method on Tensorflow.	CoRR	2019	DBLP BibTeX RDF
18	S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai	A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient.	CoRR	2019	DBLP BibTeX RDF
18	Philip K. Kristensen, Emilio Martínez-Pañeda	Phase field fracture modelling using quasi-Newton methods and a new adaptive step scheme.	CoRR	2019	DBLP BibTeX RDF
18	Jacob Rafati, Roummel F. Marcia	Quasi-Newton Optimization Methods For Deep Learning Applications.	CoRR	2019	DBLP BibTeX RDF
18	Neculai Andrei	A diagonal quasi-Newton updating method for unconstrained optimization.	Numer. Algorithms	2019	DBLP DOI BibTeX RDF
18	Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro	A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization.	IEEE Trans. Signal Process.	2019	DBLP DOI BibTeX RDF
18	Issam A. R. Moughrabi, Saeed Askary	New Dual Parameter Quasi-Newton Methods for Unconstrained Nonlinear Programs.	Int. J. Strateg. Decis. Sci.	2019	DBLP DOI BibTeX RDF
18	Xiangli Li, Juanjuan Shi, Xiaoliang Dong, Jianglan Yu	A new conjugate gradient method based on Quasi-Newton equation for unconstrained optimization.	J. Comput. Appl. Math.	2019	DBLP DOI BibTeX RDF
18	Duc Manh Nguyen	A Combination of CMAES-APOP Algorithm and Quasi-Newton Method.	ICCSAMA	2019	DBLP DOI BibTeX RDF