Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
79 | Chun-Cheng Peng, George D. Magoulas |
Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (1) ![In: Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I, pp. 259-268, 2007, Springer, 978-3-540-74689-8. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
BFGS, self-scaling factor, nonmonotone strategy, adaptive learning, line-search, recurrent networks |
69 | Tao-Wen Liu, Dong-Hui Li |
A cautious BFGS update for reduced Hessian SQP. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Numer. Algorithms ![In: Numer. Algorithms 44(1), pp. 11-28, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Mathematics Subject Classifications (2000) 65K05, 90C53, 90C30 |
69 | Nazri Mohd Nawi, Meghana R. Ransing, Rajesh S. Ransing |
An Improved Learning Algorithm Based on The Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method For Back Propagation Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISDA (1) ![In: Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), October 16-18, 2006, Jinan, China, pp. 152-157, 2006, IEEE Computer Society, 0-7695-2528-8. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
63 | Raymond Ros |
Benchmarking the BFGS algorithm on the BBOB-2009 noisy testbed. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO (Companion) ![In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, Companion Material, pp. 2415-2420, 2009, ACM, 978-1-60558-505-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
BFGS, benchmarking, black-box optimization, quasi-newton |
63 | Raymond Ros |
Benchmarking the BFGS algorithm on the BBOB-2009 function testbed. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO (Companion) ![In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, Companion Material, pp. 2409-2414, 2009, ACM, 978-1-60558-505-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
BFGS, benchmarking, black-box optimization, quasi-newton |
60 | Yubo Yuan 0001, Tingzhu Huang |
A Polynomial Smooth Support Vector Machine for Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings, pp. 157-164, 2005, Springer, 3-540-27894-X. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
combinational optimal, BFGS method, Newton-Armijo method, data mining, classification, support vector machine, smooth methods |
52 | Stavros J. Perantonis, Nikolaos Ampazis, S. Spirou |
Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN (1) ![In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 1, pp. 138-145, 2000, IEEE Computer Society, 0-7695-0619-4. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
50 | Nobuo Yamashita |
Sparse quasi-Newton updates with positive definite matrix completion. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Math. Program. ![In: Math. Program. 115(1), pp. 1-30, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Mathematics Subject Classification (2000) 90C53, 90C06 |
50 | Galen Andrew, Jianfeng Gao 0001 |
Scalable training of L1-regularized log-linear models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007, pp. 33-40, 2007, ACM, 978-1-59593-793-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
50 | Radoslaw Pytlak, Tomasz Tarnawski |
Preconditioned Conjugate Gradient Algorithms for Nonconvex Problems with Box Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
System Modelling and Optimization ![In: System Modeling and Optimization, Proceedings of the 22nd IFIP TC7 Conference held from July 18-22, 2005, in Turin, Italy, pp. 113-122, 2005, Springer, 0-387-32774-6. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
bound constrained nonlinear optimization problems, quasi-Newton methods, conjugate gradient algorithms |
46 | Vassilios S. Vassiliadis, Raúl Conejeros |
Broyden Family of Methods and the BFGS Update. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Encyclopedia of Optimization ![In: Encyclopedia of Optimization, Second Edition, pp. 345-346, 2009, Springer, 978-0-387-74758-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
BFGS update, DFP update, Broyden family of methods, Rank-two updates, Unconstrained optimization, Quasi-Newton methods |
46 | Ioannis E. Livieris, M. S. Apostolopoulou, D. G. Sotiropoulos, Spyros Sioutas, Panayiotis E. Pintelas |
Classification of Large Biomedical Data Using ANNs Based on BFGS Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Panhellenic Conference on Informatics ![In: PCI 2009, 13th Panhellenic Conference on Informatics, 10-12 September 2009, Corfu, Greece, pp. 87-91, 2009, IEEE Computer Society, 978-0-7695-3788-7. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
biomedical data, memoryless BFGS, curvilinear search, feature extraction, Artificial neural networks, dimensionality reduction |
39 | Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr |
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2307.13744, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
39 | Donghui Li, Xiaozhou Wang, Jiajian Huang |
Diagonal BFGS updates and applications to the limited memory BFGS method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Optim. Appl. ![In: Comput. Optim. Appl. 81(3), pp. 829-856, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
36 | Walter F. Mascarenhas |
The BFGS method with exact line searches fails for non-convex objective functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Math. Program. ![In: Math. Program. 99(1), pp. 49-61, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
36 | Ciyou Zhu, Richard H. Byrd, Peihuang Lu, Jorge Nocedal |
Algorithm 778: L-BFGS-B: Fortran Subroutines for Large-Scale Bound-Constrained Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Math. Softw. ![In: ACM Trans. Math. Softw. 23(4), pp. 550-560, 1997. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
limited-memory method, variable metric method, nonlinear optimization, large-scale optimization |
33 | Han-Shen Huang, Bo-Hou Yang, Yu-Ming Chang, Chun-Nan Hsu |
Global and componentwise extrapolations for accelerating training of Bayesian networks and conditional random fields. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Data Min. Knowl. Discov. ![In: Data Min. Knowl. Discov. 19(1), pp. 58-94, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Generalized iterative scaling, Aitken’s extrapolation, Bayesian networks, Conditional random fields, Expectation-maximization (EM) algorithm |
33 | Radoslaw Pytlak |
Preconditioned conjugate gradient algorithms with column scaling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, pp. 534-539, 2008, IEEE, 978-1-4244-3123-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
33 | Jin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph |
A quasi-Newton approach to non-smooth convex optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008, pp. 1216-1223, 2008, ACM, 978-1-60558-205-4. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
33 | Davood Yazdani, Seyyed Mohsen Azizi 0001, Suzan Eren |
Designing a Decentralized Lq Controller for a Traffic Network using DFP Optimization Technique. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CCECE ![In: Proceedings of the Canadian Conference on Electrical and Computer Engineering, CCECE 2006, May 7-10, 2006, Ottawa Congress Centre, Ottawa, Canada, pp. 1163-1166, 2006, IEEE, 1-4244-0038-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
33 | Robert B. Schnabel, John E. Koontz, Barry E. Weiss |
A Modular System of Algorithms for Unconstrained Minimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Math. Softw. ![In: ACM Trans. Math. Softw. 11(4), pp. 419-440, 1985. The full citation details ...](Pics/full.jpeg) |
1985 |
DBLP DOI BibTeX RDF |
UNCMIN |
27 | Z. Chen, P. Fei, H. Zheng |
A Parallel Quasi-Newton Algorithm for Unconstrained Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Computing ![In: Computing 55(2), pp. 125-134, 1995. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
BFGS algorithm, parallel method, unconstrained optimization, superlinear convergence |
19 | Shahabeddin Najafi, Masoud Hajarian |
Multiobjective BFGS method for optimization on Riemannian manifolds. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Optim. Appl. ![In: Comput. Optim. Appl. 87(2), pp. 337-354, March 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Alberto Bemporad |
Linear and nonlinear system identification under 1- and group-Lasso regularization via L-BFGS-B. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2403.03827, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Gonglin Yuan, Xiong Zhao, Kejun Liu, Xiaoxuan Chen |
An adaptive projection BFGS method for nonconvex unconstrained optimization problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Numer. Algorithms ![In: Numer. Algorithms 95(4), pp. 1747-1767, April 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Ciwen Chen, Guyan Ni, Bo Yang |
Partially symmetric tensor structure preserving rank-R approximation via BFGS algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Optim. Appl. ![In: Comput. Optim. Appl. 85(2), pp. 621-652, June 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Brian Irwin, Eldad Haber |
Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Optim. Appl. ![In: Comput. Optim. Appl. 84(3), pp. 651-702, April 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | An Zhang 0002, Baichuan Zhang, Wenhao Bi, Zhanjun Huang, Mi Yang |
Multi-UAV task allocation based on GCN-inspired binary stochastic L-BFGS. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Commun. ![In: Comput. Commun. 212, pp. 198-211, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Hejie Wei, Wei Hong Yang, Yinsheng Chai |
A Riemannian subspace BFGS trust region method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Optim. Lett. ![In: Optim. Lett. 17(8), pp. 1889-1914, November 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Timotej Hrga, Janez Povh |
Solving SDP relaxations of Max-Cut problem with large number of hypermetric inequalities by L-BFGS-B. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Optim. Lett. ![In: Optim. Lett. 17(5), pp. 1201-1213, June 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Ren-li Zhang, Yuwei Shen, Shuang Qiu 0005, Jintao Yu, Weixing Sheng |
Polyphase waveform design for ISRJ suppression based on L-BFGS method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Digit. Signal Process. ![In: Digit. Signal Process. 133, pp. 103840, March 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Fei Huang, Songhai Deng, Jinyuan Tang |
A derivative-free memoryless BFGS hyperplane projection method for solving large-scale nonlinear monotone equations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 27(7), pp. 3805-3815, April 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | 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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 27(9), pp. 5893-5910, May 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Xiang Wu, Kanjian Zhang |
A limited-memory BFGS-based differential evolution algorithm for optimal control of nonlinear systems with mixed control variables and probability constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Numer. Algorithms ![In: Numer. Algorithms 93(2), pp. 493-542, June 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Yuelin Wang, Zhidong Wang, He Huang 0001 |
Stochastic adaptive CL-BFGS algorithms for fully complex-valued dendritic neuron model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Knowl. Based Syst. ![In: Knowl. Based Syst. 277, pp. 110788, October 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Xiaoyu Wu, Hu Shao, Pengjie Liu, Yue Zhuo |
An Inertial Spectral CG Projection Method Based on the Memoryless BFGS Update. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Optim. Theory Appl. ![In: J. Optim. Theory Appl. 198(3), pp. 1130-1155, September 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Haoyuan Zhang, Guohao Ju, Liang Guo, Boqian Xu, Xiaoquan Bai, Fengyi Jiang, Shuyan Xu |
Fast High-Resolution Phase Diversity Wavefront Sensing with L-BFGS Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Sensors ![In: Sensors 23(10), pp. 4966, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Yongliang Zhang, He Huang 0001, Gangxiang Shen |
Adaptive CL-BFGS Algorithms for Complex-Valued Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks Learn. Syst. ![In: IEEE Trans. Neural Networks Learn. Syst. 34(9), pp. 6313-6327, September 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Pedro Henrique Souza Calderano, Mateus Gheorghe de Castro Ribeiro, Rodolfo S. Teixeira, Renan Piazzaroli Finotti Amaral, Ivan Fabio Mota de Menezes |
Type-1 and singleton fuzzy logic system binary classifier trained by BFGS optimization method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Fuzzy Optim. Decis. Mak. ![In: Fuzzy Optim. Decis. Mak. 22(1), pp. 149-168, March 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao |
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, pp. 7193-7201, 2023, AAAI Press, 978-1-57735-880-0. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Bowen Jia, Pingzhi Fan, Qianli Wang |
Low Complexity Doubly Fractional OTFS Channel Estimation Based on L-BFGS Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WCNC ![In: IEEE Wireless Communications and Networking Conference, WCNC 2023, Glasgow, UK, March 26-29, 2023, pp. 1-6, 2023, IEEE, 978-1-6654-9122-8. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | 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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICFPT ![In: International Conference on Field Programmable Technology, ICFPT 2023, Yokohama, Japan, December 12-14, 2023, pp. 284-285, 2023, IEEE, 979-8-3503-5911-4. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Huiyang Xiong, Bohang Xiong, Wenhao Wang, Jing Tian 0004, Hao Zhu 0004, Zhongfeng Wang 0001 |
Efficient FPGA-Based Accelerator of the L-BFGS Algorithm for IoT Applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISCAS ![In: IEEE International Symposium on Circuits and Systems, ISCAS 2023, Monterey, CA, USA, May 21-25, 2023, pp. 1-5, 2023, IEEE, 978-1-6654-5109-3. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Vikas Singh, Vasudev Dehalwar, Jyoti Bharti |
Identification of Distributed Denial of Service Attacks Employing L-BFGS Tuning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCCNT ![In: 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023, Delhi, India, July 6-8, 2023, pp. 1-7, 2023, IEEE, 979-8-3503-3509-5. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Lin Li, Jianhao Hu |
Fast-Converging and Low-Complexity Linear Massive MIMO Detection With L-BFGS Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Veh. Technol. ![In: IEEE Trans. Veh. Technol. 71(10), pp. 10656-10665, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Hardik Tankaria, Shinji Sugimoto, Nobuo Yamashita |
A regularized limited memory BFGS method for large-scale unconstrained optimization and its efficient implementations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Optim. Appl. ![In: Comput. Optim. Appl. 82(1), pp. 61-88, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Kubilay Savci |
A Limited Memory BFGS Based Unimodular Sequence Design Algorithm for Spectrum-Aware Sensing Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 10, pp. 77011-77029, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Almas Jahanshahloo, Alireza Ebrahimi |
Reconstruction of 3D shapes with B-spline surface using diagonal approximation BFGS methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Multim. Tools Appl. ![In: Multim. Tools Appl. 81(26), pp. 38091-38111, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Hanger Liu, Yan Li, Maojun Zhang |
An Active Set Limited Memory BFGS Algorithm for Machine Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Symmetry ![In: Symmetry 14(2), pp. 378, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Wenjuan Xue, Chungen Shen, Zhensheng Yu |
Limited Memory BFGS Method for Least Squares Semidefinite Programming with Banded Structure. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Syst. Sci. Complex. ![In: J. Syst. Sci. Complex. 35(4), pp. 1500-1519, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Qiuwen Zhang, Tengyao Cui, Lixun Huang, Bin Jiang 0007, Jinchao Zhao |
Low-complexity intra coding scheme based on Bayesian and L-BFGS for VVC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Digit. Signal Process. ![In: Digit. Signal Process. 127, pp. 103539, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Jiebao Zhang, Wenhua Qian, Rencan Nie, Jinde Cao, Dan Xu 0001 |
LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2210.15446, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Johannes J. Brust, Zichao Wendy Di, Sven Leyffer, Cosmin G. Petra |
Compact representations of structured BFGS matrices. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2208.00057, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Lin Li, Jianhao Hu |
Low-complexity linear massive MIMO detection based on the improved BFGS method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IET Commun. ![In: IET Commun. 16(14), pp. 1699-1707, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Gonglin Yuan, Mengxiang Zhang, Yingjie Zhou |
Adaptive scaling damped BFGS method without gradient Lipschitz continuity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Math. Lett. ![In: Appl. Math. Lett. 124, pp. 107634, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Xiangli Li, Wenjuan Zhao |
A modified conjugate gradient method based on the self-scaling memoryless BFGS update. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Numer. Algorithms ![In: Numer. Algorithms 90(3), pp. 1017-1042, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Neculai Andrei |
A note on memory-less SR1 and memory-less BFGS methods for large-scale unconstrained optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Numer. Algorithms ![In: Numer. Algorithms 90(1), pp. 223-240, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Gonglin Yuan, Pengyuan Li 0008, Junyu Lu |
The global convergence of the BFGS method with a modified WWP line search for nonconvex functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Numer. Algorithms ![In: Numer. Algorithms 91(1), pp. 353-365, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Albert S. Berahas, Frank E. Curtis, Baoyu Zhou |
Limited-memory BFGS with displacement aggregation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Math. Program. ![In: Math. Program. 194(1), pp. 121-157, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Lin Li, Jianhao Hu |
An Efficient Linear Detection Scheme Based on L-BFGS Method for Massive MIMO Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Commun. Lett. ![In: IEEE Commun. Lett. 26(1), pp. 138-142, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Mahsa Yousefi, Ángeles Martínez Calomardo |
A Stochastic Modified Limited Memory BFGS for Training Deep Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAI (2) ![In: Intelligent Computing - Proceedings of the 2022 Computing Conference, Volume 2, SAI 2022, Virtual Event, 14-15 July 2022., pp. 9-28, 2022, Springer, 978-3-031-10463-3. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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19 | Jiang Xiao, Yun Li |
Improving Neural Network Time Series Prediction with a GA-BFGS Grown Dynamic Architecture. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICAC ![In: 27th International Conference on Automation and Computing, ICAC 2022, Bristol, United Kingdom, September 1-3, 2022, pp. 1-6, 2022, IEEE, 978-1-6654-9807-4. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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19 | Xue Xiong, Ying Liu, Chongtao Guo, Bin Liao |
Blind Constant Modulus Multiuser Detection in Multipath Fading Channel via Contracting Regularized BFGS. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WOCC ![In: 31st Wireless and Optical Communications Conference, WOCC 2022, Shenzhen, China, August 11-12, 2022, pp. 166-170, 2022, IEEE, 978-1-6654-6950-0. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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19 | Guohua Gao, Horacio Florez, Jeroen C. Vink, Terence J. Wells, Fredrik Saaf, Carl P. A. Blom |
Performance Analysis of Trust Region Subproblem Solvers for Limited-Memory Distributed BFGS Optimization Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Frontiers Appl. Math. Stat. ![In: Frontiers Appl. Math. Stat. 7, pp. 673412, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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19 | Johannes J. Brust, Zichao (Wendy) Di, Sven Leyffer, Cosmin G. Petra |
Compact representations of structured BFGS matrices. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Optim. Appl. ![In: Comput. Optim. Appl. 80(1), pp. 55-88, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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19 | Qiong-Ying Chen, Yun-Zhi Huang, Min Gan, C. L. Philip Chen, Guang-Yong Chen |
BFGS method based variable projection approach for image restoration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IET Image Process. ![In: IET Image Process. 15(12), pp. 2854-2865, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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19 | Kin Keung Lai, Shashi Kant Mishra, Geetanjali Panda, Suvra Kanti Chakraborty, Mohammad Esmael Samei, Bhagwat Ram |
A limited memory q-BFGS algorithm for unconstrained optimization problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Appl. Math. Comput. ![In: J. Appl. Math. Comput. 66(1-2), pp. 183-202, June 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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19 | Xia Zhang, Ding Liu, Xue Wang, Xinyu Zhang |
Advanced Ellipse Fitting Algorithm Based on ADMM and Hybrid BFGS Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Instrum. Meas. ![In: IEEE Trans. Instrum. Meas. 70, pp. 1-11, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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19 | Florian Flachsenberg, Matthias Rarey |
LSLOpt: An open-source implementation of the step-length controlled LSL-BFGS algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Chem. ![In: J. Comput. Chem. 42(15), pp. 1095-1100, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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19 | Jionghui Jiang, Xi'an Feng, Zhiwen Hu, Xiaodong Hu, Fen Liu, Hui Huang 0009 |
Medical image fusion using Transfer Learning and L-BFGS optimization algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Imaging Syst. Technol. ![In: Int. J. Imaging Syst. Technol. 31(4), pp. 2003-2013, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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19 | Hardik Tankaria, Shinji Sugimoto, Nobuo Yamashita |
A Regularized Limited Memory BFGS method for Large-Scale Unconstrained Optimization and its Efficient Implementations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2101.04413, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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19 | Hari Om Aggrawal, Jan Modersitzki |
Hessian Initialization Strategies for L-BFGS Solving Non-linear Inverse Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2103.10010, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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19 | Wenjie Song 0006, Xuan Shen |
Vertical federated learning based on DFP and BFGS. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2101.09428, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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19 | Xin-Long Luo 0001, Jia-hui Lv, Hang Xiao |
Explicit continuation methods with L-BFGS updating formulas for linearly constrained optimization problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2101.07055, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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19 | Yan Gu, Nobuo Yamashita |
An alternating direction method of multipliers with the BFGS update for structured convex quadratic optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Appl. Math. ![In: Comput. Appl. Math. 40(3), 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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19 | Maryam Khoshsimaye-Bargard, Ali Ashrafi |
A new descent spectral Polak-Ribière-Polyak method based on the memoryless BFGS update. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Appl. Math. ![In: Comput. Appl. Math. 40(8), 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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19 | Xiangli Li, Wenjuan Zhao, Xiaoliang Dong |
A new CG algorithm based on a scaled memoryless BFGS update with adaptive search strategy, and its application to large-scale unconstrained optimization problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Appl. Math. ![In: J. Comput. Appl. Math. 398, pp. 113670, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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19 | S. H. Lui 0001, Sarah Nataj |
Superlinear convergence of Broyden's method and BFGS algorithm using Kantorovich-type assumptions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Appl. Math. ![In: J. Comput. Appl. Math. 385, pp. 113204, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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19 | Yuning Jiang, Petr Listov, Colin N. Jones |
Block BFGS Based Distributed Optimization for NMPC Using PolyMPC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECC ![In: 2021 European Control Conference, ECC 2021, Virtual Event / Delft, The Netherlands, June 29 - July 2, 2021, pp. 2231-2237, 2021, IEEE, 978-9-4638-4236-5. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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19 | Yichuan Li 0004, Yonghai Gong, Nikolaos M. Freris, Petros G. Voulgaris, Dusan M. Stipanovic |
BFGS-ADMM for Large-Scale Distributed Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: 2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021, pp. 1689-1694, 2021, IEEE, 978-1-6654-3659-5. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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19 | Hari Om Aggrawal, Jan Modersitzki |
Hessian Initialization Strategies for ℓ-BFGS Solving Non-linear Inverse Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSVM ![In: Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Virtual Event, May 16-20, 2021, Proceedings, pp. 216-228, 2021, Springer, 978-3-030-75548-5. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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19 | 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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MIG ![In: MIG '21: Motion, Interaction and Games, Virtual Event, Switzerland, November 10-12, 2021, pp. 14:1-14:7, 2021, ACM, 978-1-4503-9131-3. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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19 | Amirali Aghazadeh, Vipul Gupta, Alex DeWeese, Onur Ozan Koyluoglu, Kannan Ramchandran |
BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MSML ![In: Mathematical and Scientific Machine Learning, 16-19 August 2021, Virtual Conference / Lausanne, Switzerland., pp. 75-92, 2021, PMLR. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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19 | Ioannis E. Livieris |
An advanced active set L-BFGS algorithm for training weight-constrained neural networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. Appl. ![In: Neural Comput. Appl. 32(11), pp. 6669-6684, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Albert S. Berahas, Martin Takác 0001 |
A robust multi-batch L-BFGS method for machine learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Optim. Methods Softw. ![In: Optim. Methods Softw. 35(1), pp. 191-219, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Yuchen Xie, Richard H. Byrd, Jorge Nocedal |
Analysis of the BFGS Method with Errors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIAM J. Optim. ![In: SIAM J. Optim. 30(1), pp. 182-209, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Xinru Yuan, Wen Huang 0001, Pierre-Antoine Absil, Kyle A. Gallivan |
Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Numer. Linear Algebra Appl. ![In: Numer. Linear Algebra Appl. 27(5), 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Sarah Nataj, S. H. Lui 0001 |
Superlinear convergence of nonlinear conjugate gradient method and scaled memoryless BFGS method based on assumptions about the initial point. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Math. Comput. ![In: Appl. Math. Comput. 369, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Sanaz Bojari, M. R. Eslahchi |
Global convergence of a family of modified BFGS methods under a modified weak-Wolfe-Powell line search for nonconvex functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
4OR ![In: 4OR 18(2), pp. 219-244, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Minru Bai, Jing Zhao, Zhanghui Zhang |
A descent cautious BFGS method for computing US-eigenvalues of symmetric complex tensors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Glob. Optim. ![In: J. Glob. Optim. 76(4), pp. 889-911, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Amirali Aghazadeh, Vipul Gupta, Alex DeWeese, Onur Ozan Koyluoglu, Kannan Ramchandran |
BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.13829, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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19 | Brian Irwin, Eldad Haber |
Secant Penalized BFGS: A Noise Robust Quasi-Newton Method Via Penalizing The Secant Condition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.01275, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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19 | Sanae Lotfi, Tiphaine Bonniot de Ruisselet, Dominique Orban, Andrea Lodi 0001 |
Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2012.05783, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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19 | Federico Zocco, Seán F. McLoone |
An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2012.07434, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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19 | Dmitry Kovalev, Robert M. Gower, Peter Richtárik, Alexander Rogozin |
Fast Linear Convergence of Randomized BFGS. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2002.11337, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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19 | Alireza Hosseini Dehmiry |
The global convergence of the BFGS method under a modified Yuan-Wei-Lu line search technique. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Numer. Algorithms ![In: Numer. Algorithms 84(2), pp. 781-793, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Neculai Andrei |
A double parameter self-scaling memoryless BFGS method for unconstrained optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Appl. Math. ![In: Comput. Appl. Math. 39(3), 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Chungen Shen, Changxing Fan, Yunlong Wang, Wenjuan Xue |
Limited memory BFGS algorithm for the matrix approximation problem in Frobenius norm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Appl. Math. ![In: Comput. Appl. Math. 39(2), 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Mostafa Borhani |
Multi-label Log-Loss function using L-BFGS for document categorization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Eng. Appl. Artif. Intell. ![In: Eng. Appl. Artif. Intell. 91, pp. 103623, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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19 | Weijun Zhou |
A modified BFGS type quasi-Newton method with line search for symmetric nonlinear equations problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Appl. Math. ![In: J. Comput. Appl. Math. 367, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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