Статті в журналах з теми "Primal-Dual learning algorithm"
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Overman, Tom, Garrett Blum, and Diego Klabjan. "A Primal-Dual Algorithm for Hybrid Federated Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 13 (March 24, 2024): 14482–89. http://dx.doi.org/10.1609/aaai.v38i13.29363.
Повний текст джерелаYang, Peng, and Ping Li. "Distributed Primal-Dual Optimization for Online Multi-Task Learning." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6631–38. http://dx.doi.org/10.1609/aaai.v34i04.6139.
Повний текст джерелаWang, Shuai, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, and Defeng Sun. "Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (June 26, 2023): 10175–83. http://dx.doi.org/10.1609/aaai.v37i8.26212.
Повний текст джерелаLai, Hanjiang, Yan Pan, Cong Liu, Liang Lin, and Jie Wu. "Sparse Learning-to-Rank via an Efficient Primal-Dual Algorithm." IEEE Transactions on Computers 62, no. 6 (June 2013): 1221–33. http://dx.doi.org/10.1109/tc.2012.62.
Повний текст джерелаTao, Wei, Wei Li, Zhisong Pan, and Qing Tao. "Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (May 18, 2021): 9843–50. http://dx.doi.org/10.1609/aaai.v35i11.17183.
Повний текст джерелаDing, Yuhao, and Javad Lavaei. "Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (June 26, 2023): 7396–404. http://dx.doi.org/10.1609/aaai.v37i6.25900.
Повний текст джерелаBai, Qinbo, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, and Vaneet Aggarwal. "Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 4 (June 28, 2022): 3682–89. http://dx.doi.org/10.1609/aaai.v36i4.20281.
Повний текст джерелаBai, Qinbo, Amrit Singh Bedi, and Vaneet Aggarwal. "Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (June 26, 2023): 6737–44. http://dx.doi.org/10.1609/aaai.v37i6.25826.
Повний текст джерелаGupta, Ankita, Lakhwinder Kaur, and Gurmeet Kaur. "Drought stress detection technique for wheat crop using machine learning." PeerJ Computer Science 9 (May 19, 2023): e1268. http://dx.doi.org/10.7717/peerj-cs.1268.
Повний текст джерелаLiu, Bo, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, and Marek Petrik. "Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity." Journal of Artificial Intelligence Research 63 (November 15, 2018): 461–94. http://dx.doi.org/10.1613/jair.1.11251.
Повний текст джерелаHerguedas-Alonso, A. Estela, Víctor M. García-Suárez, and Juan L. Fernández-Martínez. "Compressed Sensing Techniques Applied to Medical Images Obtained with Magnetic Resonance." Mathematics 11, no. 16 (August 18, 2023): 3573. http://dx.doi.org/10.3390/math11163573.
Повний текст джерелаZhao, Xiao, Xuhui Xia, and Guodong Yu. "Primal-Dual Learning Based Risk-Averse Optimal Integrated Allocation of Hybrid Energy Generation Plants under Uncertainty." Energies 12, no. 12 (June 13, 2019): 2275. http://dx.doi.org/10.3390/en12122275.
Повний текст джерелаYe, Yao, and Heng-you Lan. "Novel Accelerated Cyclic Iterative Approximation for Hierarchical Variational Inequalities Constrained by Multiple-Set Split Common Fixed-Point Problems." Mathematics 12, no. 18 (September 21, 2024): 2935. http://dx.doi.org/10.3390/math12182935.
Повний текст джерелаMahadevan, Sridhar, Stephen Giguere, and Nicholas Jacek. "Basis Adaptation for Sparse Nonlinear Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (June 30, 2013): 654–60. http://dx.doi.org/10.1609/aaai.v27i1.8665.
Повний текст джерелаHuang, Shuangping, Lianwen Jin, and Yunyu Li. "Online Multikernel Learning Based on a Triple-Norm Regularizer for Semantic Image Classification." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/346496.
Повний текст джерелаChu, Dejun, Changshui Zhang, Shiliang Sun, and Qing Tao. "Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (June 26, 2023): 7193–201. http://dx.doi.org/10.1609/aaai.v37i6.25877.
Повний текст джерелаNavarro, Jorge, Eduardo Fernández, Efrain Solares, Abril Flores, and Raymundo Díaz. "Learning the Parameters of ELECTRE-Based Primal-Dual Sorting Methods that Use Either Characteristic or Limiting Profiles." Axioms 12, no. 3 (March 11, 2023): 294. http://dx.doi.org/10.3390/axioms12030294.
Повний текст джерелаDey, Sumanta, Pallab Dasgupta, and Soumyajit Dey. "P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 19 (March 24, 2024): 21029–36. http://dx.doi.org/10.1609/aaai.v38i19.30094.
Повний текст джерелаGuo, Hengquan, Hongchen Cao, Jingzhu He, Xin Liu, and Yuanming Shi. "POBO: Safe and Optimal Resource Management for Cloud Microservices." ACM SIGMETRICS Performance Evaluation Review 51, no. 4 (February 22, 2024): 20–21. http://dx.doi.org/10.1145/3649477.3649489.
Повний текст джерелаLiao, Dongping, Xitong Gao, and Chengzhong Xu. "Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 4 (March 24, 2024): 3342–50. http://dx.doi.org/10.1609/aaai.v38i4.28120.
Повний текст джерелаZhang, Dewei, Yin Liu, and Sam Davanloo Tajbakhsh. "A First-Order Optimization Algorithm for Statistical Learning with Hierarchical Sparsity Structure." INFORMS Journal on Computing 34, no. 2 (March 2022): 1126–40. http://dx.doi.org/10.1287/ijoc.2021.1069.
Повний текст джерелаBebortta, Sujit, Subhranshu Sekhar Tripathy, Shakila Basheer, and Chiranji Lal Chowdhary. "FedEHR: A Federated Learning Approach towards the Prediction of Heart Diseases in IoT-Based Electronic Health Records." Diagnostics 13, no. 20 (October 10, 2023): 3166. http://dx.doi.org/10.3390/diagnostics13203166.
Повний текст джерелаOgumeyo, S. A., and E. A. Okogun. "Determination of periodic optimal recruitment and wastage schedule using dynamic programming approach." Dutse Journal of Pure and Applied Sciences 9, no. 2a (July 14, 2023): 14–23. http://dx.doi.org/10.4314/dujopas.v9i2a.2.
Повний текст джерелаMa, Xin, Yubin Cai, Hong Yuan, and Yanqiao Deng. "Partially Linear Component Support Vector Machine for Primary Energy Consumption Forecasting of the Electric Power Sector in the United States." Sustainability 15, no. 9 (April 23, 2023): 7086. http://dx.doi.org/10.3390/su15097086.
Повний текст джерелаShalev-Shwartz, Shai, and Yoram Singer. "A primal-dual perspective of online learning algorithms." Machine Learning 69, no. 2-3 (July 11, 2007): 115–42. http://dx.doi.org/10.1007/s10994-007-5014-x.
Повний текст джерелаNIELSEN, FRANK, and RICHARD NOCK. "APPROXIMATING SMALLEST ENCLOSING BALLS WITH APPLICATIONS TO MACHINE LEARNING." International Journal of Computational Geometry & Applications 19, no. 05 (October 2009): 389–414. http://dx.doi.org/10.1142/s0218195909003039.
Повний текст джерелаDai, Juntao, Jiaming Ji, Long Yang, Qian Zheng, and Gang Pan. "Augmented Proximal Policy Optimization for Safe Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (June 26, 2023): 7288–95. http://dx.doi.org/10.1609/aaai.v37i6.25888.
Повний текст джерелаXiao, Ming, and Mikael Skoglund. "Coding for Large-Scale Distributed Machine Learning." Entropy 24, no. 9 (September 12, 2022): 1284. http://dx.doi.org/10.3390/e24091284.
Повний текст джерелаDing, Weiwei, Youlin Shang, Zhengfen Jin, and Yibao Fan. "Semi-Proximal ADMM for Primal and Dual Robust Low-Rank Matrix Restoration from Corrupted Observations." Symmetry 16, no. 3 (March 5, 2024): 303. http://dx.doi.org/10.3390/sym16030303.
Повний текст джерелаFernández-Fuentes, Xosé, David Mera, Andrés Gómez, and Ignacio Vidal-Franco. "Towards a Fast and Accurate EIT Inverse Problem Solver: A Machine Learning Approach." Electronics 7, no. 12 (December 11, 2018): 422. http://dx.doi.org/10.3390/electronics7120422.
Повний текст джерелаChege, Simon. "Deep Learning Aided Resource Allocation in Hybrid NOMA-Enabled Overloaded Systems." International Journal of Electrical and Electronic Engineering & Telecommunications 14, no. 1 (2025): 1–12. https://doi.org/10.18178/ijeetc.14.1.1-12.
Повний текст джерелаDavey, Ashley, and Harry Zheng. "Deep Learning for Constrained Utility Maximisation." Methodology and Computing in Applied Probability, November 26, 2021. http://dx.doi.org/10.1007/s11009-021-09912-3.
Повний текст джерелаXu, Hai-Ming, Hui Xue, Xiao-Hong Chen, and Yun-Yun Wang. "Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming." Proceedings of the AAAI Conference on Artificial Intelligence 31, no. 1 (February 13, 2017). http://dx.doi.org/10.1609/aaai.v31i1.10889.
Повний текст джерелаTang, Kejie, Weidong Liu, and Xiaojun Mao. "Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning." Machine Learning, April 8, 2024. http://dx.doi.org/10.1007/s10994-024-06537-8.
Повний текст джерелаFukami, Takumi, Tomoya Murata, Kenta Niwa, and Iifan Tyou. "DP-Norm: Differential Privacy Primal-Dual Algorithm for Decentralized Federated Learning." IEEE Transactions on Information Forensics and Security, 2024, 1. http://dx.doi.org/10.1109/tifs.2024.3390993.
Повний текст джерелаChen, Ningyuan, and Guillermo Gallego. "A Primal–Dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint." Mathematics of Operations Research, February 10, 2022. http://dx.doi.org/10.1287/moor.2021.1220.
Повний текст джерелаYang, Yichen, and Zhaohui Liu. "Heuristics for Finding Sparse Solutions of Linear Inequalities." Asia-Pacific Journal of Operational Research, December 15, 2021. http://dx.doi.org/10.1142/s021759592240005x.
Повний текст джерелаHuang, Jinshu, Yiming Gao, and Chunlin Wu. "On dynamical system modeling of Learned Primal-Dual with a linear operator $\mathcal{K}$: Stability and convergence properties." Inverse Problems, May 10, 2024. http://dx.doi.org/10.1088/1361-6420/ad49ca.
Повний текст джерелаSantos Garcia, Carlos, Mathilde Larchevêque, Solal O'Sullivan, Martin Van Waerebeke, Robert R. Thomson, Audrey Repetti, and Jean-Christophe Pesquet. "A primal-dual data-driven method for computational optical imaging with a photonic lantern." PNAS Nexus, April 16, 2024. http://dx.doi.org/10.1093/pnasnexus/pgae164.
Повний текст джерелаChen, Ningyuan, and Guillermo Gallego. "A Primal-dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint." SSRN Electronic Journal, 2018. http://dx.doi.org/10.2139/ssrn.3301153.
Повний текст джерелаDutta, Haimonti. "A Consensus Algorithm for Linear Support Vector Machines." Management Science, August 30, 2021. http://dx.doi.org/10.1287/mnsc.2021.4042.
Повний текст джерелаHu, Rui, Jianan Cui, Chenxu Li, Chengjin Yu, Yunmei Chen, and Huafeng Liu. "Dynamic low-count PET image reconstruction using spatio-temporal primal dual network." Physics in Medicine & Biology, June 13, 2023. http://dx.doi.org/10.1088/1361-6560/acde3e.
Повний текст джерелаHenry-Labordere, Pierre. "Deep Primal-Dual Algorithm for BSDEs: Applications of Machine Learning to CVA and IM." SSRN Electronic Journal, 2017. http://dx.doi.org/10.2139/ssrn.3071506.
Повний текст джерелаZhao, Yong-Ping, Yao-Bin Chen, Zhao Hao, Hao Wang, Zhe Yang, and Jian-Feng Tan. "Imbalanced Kernel Extreme Learning Machines for Fault Detection of Aircraft Engine." Journal of Dynamic Systems, Measurement, and Control 142, no. 10 (June 1, 2020). http://dx.doi.org/10.1115/1.4047117.
Повний текст джерелаBekci, Recep Yusuf, Mehmet Gümüş, and Sentao Miao. "Inventory Control and Learning for One-Warehouse Multistore System with Censored Demand." Operations Research, August 2, 2023. http://dx.doi.org/10.1287/opre.2021.0694.
Повний текст джерелаChen, Xi, Jiameng Lyu, Yining Wang, and Yuan Zhou. "EXPRESS: Network Revenue Management with Demand Learning and Fair Resource-Consumption Balancing." Production and Operations Management, February 5, 2024. http://dx.doi.org/10.1177/10591478231225176.
Повний текст джерелаZheng, Zemin, Jie Zhang, and Yang Li. "L0-Regularized Learning for High-Dimensional Additive Hazards Regression." INFORMS Journal on Computing, June 13, 2022. http://dx.doi.org/10.1287/ijoc.2022.1208.
Повний текст джерелаPrigent, Sylvain, Hoai-Nam Nguyen, Ludovic Leconte, Cesar Augusto Valades-Cruz, Bassam Hajj, Jean Salamero, and Charles Kervrann. "SPITFIR(e): a supermaneuverable algorithm for fast denoising and deconvolution of 3D fluorescence microscopy images and videos." Scientific Reports 13, no. 1 (January 27, 2023). http://dx.doi.org/10.1038/s41598-022-26178-y.
Повний текст джерелаZhao, Chen, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, and Feng Chen. "Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness." ACM Transactions on Knowledge Discovery from Data, February 20, 2024. http://dx.doi.org/10.1145/3648684.
Повний текст джерелаTerris, Matthieu, Chao Tang, Adrian Jackson, and Yves Wiaux. "The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness." Monthly Notices of the Royal Astronomical Society, January 24, 2025. https://doi.org/10.1093/mnras/staf022.
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