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Publication search results
found 533 matches
- 2021
- Rahul Yedida
, Snehanshu Saha, Tejas Prashanth:
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence. Appl. Intell. 51(3): 1460-1478 (2021) - Yong Xu, Hongge Yue, Jiang-Lun Wu
:
On Lp-strong convergence of an averaging principle for non-Lipschitz slow-fast systems with Lévy noise. Appl. Math. Lett. 115: 106973 (2021) - Shixin Cheng, Hao Zhan, Huiqin Yao, Huayu Fan, Yan Liu:
Large-scale many-objective particle swarm optimizer with fast convergence based on Alpha-stable mutation and Logistic function. Appl. Soft Comput. 99: 106947 (2021) - Przemyslaw Zielinski
, Hannes Vandecasteele
, Giovanni Samaey
:
Convergence and stability of a micro-macro acceleration method: Linear slow-fast stochastic differential equations with additive noise. J. Comput. Appl. Math. 387: 112490 (2021) - Xinlin Zhang, Hengfa Lu, Di Guo, Lijun Bao, Feng Huang, Qin Xu, Xiaobo Qu
:
A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI. Medical Image Anal. 69: 101987 (2021) - Malathy Jawahar, N. K. Chandra Babu, K. Vani, L. Jani Anbarasi, S. Geetha:
Vision based inspection system for leather surface defect detection using fast convergence particle swarm optimization ensemble classifier approach. Multim. Tools Appl. 80(3): 4203-4235 (2021) - Jacob D. Abernethy, Kevin A. Lai, Andre Wibisono:
Fast Convergence of Fictitious Play for Diagonal Payoff Matrices. SODA 2021: 1387-1404 - Dawei Li, Ruoyu Sun:
On a Faster R-Linear Convergence Rate of the Barzilai-Borwein Method. CoRR abs/2101.00205 (2021) - Isaac J. Sledge, José C. Príncipe:
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. CoRR abs/2101.06848 (2021) - Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Fast Convergence of DETR with Spatially Modulated Co-Attention. CoRR abs/2101.07448 (2021) - Jean-Romain Luttringer, Quentin Bramas, Cristel Pelsser, Pascal Mérindol:
A Fast-Convergence Routing of the Hot-Potato. CoRR abs/2101.09002 (2021) - Arash Mahyari:
Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning Algorithms. CoRR abs/2102.05249 (2021) - Karl Bäckström, Ivan Walulya, Marina Papatriantafilou, Philippas Tsigas:
Consistent Lock-free Parallel Stochastic Gradient Descent for Fast and Stable Convergence. CoRR abs/2102.09032 (2021) - Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher:
A Fast Proximal Gradient Method and Convergence Analysis for Dynamic Mean Field Planning. CoRR abs/2102.13260 (2021) - Osvald Frisk, Friedrich Dörmann, Christian Marius Lillelund, Christian Fischer Pedersen:
Super-convergence and Differential Privacy: Training faster with better privacy guarantees. CoRR abs/2103.10498 (2021) - 2020
- Yu Chang, Lin Li
, Yongheng Wang, Kun You:
Toward Fast Convergence and Calibration-Free Visual Servoing Control: A New Image Based Uncalibrated Finite Time Control Scheme. IEEE Access 8: 88333-88347 (2020) - Atiq ur Rehman
, Ashhadul Islam
, Samir Brahim Belhaouari
:
Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence. IEEE Access 8: 189382-189394 (2020) - Haipeng Su, Runzi Luo
, Ling Xu, Meichun Huang, Jiaojiao Fu:
A Novel Fast Convergence Control Scheme for a Class of 3D Chaotic Systems with Uncertain Parameters and External Disturbances. Complex. 2020: 7613970:1-7613970:9 (2020) - Jaime Navarro-Fuentes, Oscar Herrera-Alcántara:
Fast Convergence of the Two Dimensional Discrete Shearlet Transform. Computación y Sistemas 24(2) (2020) - Yang Liu, Yuting Li, Xiaodong Cheng, Yinbo Lian, Yongjun Jia, Hui Zhang:
Low-complexity and fast-convergence linear precoding based on modified SOR for massive MIMO systems. Digit. Signal Process. 107: 102864 (2020) - Lei Luo, Wenzhao Zhu:
Fast-convergence hybrid functional link artificial neural network for active noise control with a mixture of tonal and chaotic noise. Digit. Signal Process. 106: 102846 (2020) - Hong Shen
, Tian Ding, Wei Xu
, Chunming Zhao
:
Beamformig Design With Fast Convergence for IRS-Aided Full-Duplex Communication. IEEE Commun. Lett. 24(12): 2849-2853 (2020) - Andreas Steinboeck, Martin Guay, Andreas Kugi
:
A design technique for fast sampled-data nonlinear model predictive control with convergence and stability results. Int. J. Control 93(1): 81-97 (2020) - Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy M. H. Nguyen:
Posterior concentration and fast convergence rates for generalized Bayesian learning. Inf. Sci. 538: 372-383 (2020) - Arnulf Jentzen, Philippe von Wurstemberger:
Lower error bounds for the stochastic gradient descent optimization algorithm: Sharp convergence rates for slowly and fast decaying learning rates. J. Complex. 57: 101438 (2020) - Tayyab Ahmed Shaikh, Syed Sajjad Hussain, Muhammad Rizwan Tanweer, Manzoor Ahmed Hashmani:
Broadening Selection Competitive Constraint Handling Algorithm for Faster Convergence. J. Inf. Sci. Eng. 36(6): 1293-1314 (2020) - Long Chen, Xiaozhe Hu, Steven M. Wise
:
Convergence analysis of the Fast Subspace Descent method for convex optimization problems. Math. Comput. 89(325): 2249-2282 (2020) - Jisu Kim, Hongkeun Kim
:
Synchronization of Lur'e-type nonlinear systems in linear dynamical networks having fast convergence rate and large DC gain. Syst. Control. Lett. 138: 104641 (2020) - Quoc Tran-Dinh, Yuzixuan Zhu:
Non-stationary First-Order Primal-Dual Algorithms with Faster Convergence Rates. SIAM J. Optim. 30(4): 2866-2896 (2020) - Wei Su
, Lianhua Zhu, Lei Wu
:
Fast Convergence and Asymptotic Preserving of the General Synthetic Iterative Scheme. SIAM J. Sci. Comput. 42(6): B1517-B1540 (2020)
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