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Publication search results
found 96 matches
- 2023
- Tingyue Yu, Shen Wang, Xiangzhan Yu:
Global Wasserstein Margin maximization for boosting generalization in adversarial training. Appl. Intell. 53(10): 11490-11504 (2023) - Danila Puzko, Yuri Batov, Aleksandr Gelgor, Dmitry Dolgikh:
QAM Constellations With Fractional Entropy to Gain in Margin Maximization for Frequency Selective Channels. IEEE Commun. Lett. 27(5): 1457-1461 (2023) - Shang Gao, Shijie Pan, Guang-Bao Xu, Yu-Guang Yang:
Quantum average neighborhood margin maximization for feature extraction. Quantum Inf. Process. 22(3): 152 (2023) - Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro:
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization. COLT 2023: 3173-3228 - Mahyar Fazlyab, Taha Entesari, Aniket Roy, Rama Chellappa:
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization. NeurIPS 2023 - Guanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob D. Abernethy:
Faster Margin Maximization Rates for Generic Optimization Methods. NeurIPS 2023 - Jiazuo Hou, Fei Teng, Wenqian Yin, Yue Song, Yunhe Hou:
A Cost-Effective Cyber-Defense Strategy: Attack-Induced Region Minimization and Cybersecurity Margin Maximization. CoRR abs/2302.07597 (2023) - Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro:
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization. CoRR abs/2303.01462 (2023) - Guanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob D. Abernethy:
Faster Margin Maximization Rates for Generic Optimization Methods. CoRR abs/2305.17544 (2023) - Mahyar Fazlyab, Taha Entesari, Aniket Roy, Rama Chellappa:
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization. CoRR abs/2310.00116 (2023) - Depen Morwani, Benjamin L. Edelman, Costin-Andrei Oncescu, Rosie Zhao, Sham M. Kakade:
Feature emergence via margin maximization: case studies in algebraic tasks. CoRR abs/2311.07568 (2023) - Mingze Wang, Zeping Min, Lei Wu:
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling. CoRR abs/2311.14387 (2023) - 2022
- Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
An approximate marginal spread computation approach for the budgeted influence maximization with delay. Computing 104(3): 657-680 (2022) - Tianhong Pan, Chao Wu, Qi Chen:
Sparse Reconstruction Using Block Sparse Bayesian Learning With Fast Marginalized Likelihood Maximization for Near-Infrared Spectroscopy. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - Chung-Kuan Cheng, Chia-Tung Ho, Chester Holtz:
Net Separation-Oriented Printed Circuit Board Placement via Margin Maximization. ASP-DAC 2022: 288-293 - Gal Vardi, Ohad Shamir, Nati Srebro:
On Margin Maximization in Linear and ReLU Networks. NeurIPS 2022 - Shinji Hara, Chung-Yao Kao, Sei Zhen Khong, Tetsuya Iwasaki, Yutaka Hori:
Exact Instability Margin Analysis and Minimum Norm Strong Stabilization - phase change rate maximization -. CoRR abs/2202.09500 (2022) - Chung-Kuan Cheng, Chia-Tung Ho, Chester Holtz:
Net Separation-Oriented Printed Circuit Board Placement via Margin Maximization. CoRR abs/2210.14259 (2022) - 2021
- Waldyn G. Martinez:
Ensemble Pruning via Quadratic Margin Maximization. IEEE Access 9: 48931-48951 (2021) - Samah Hijazi, Vinh Truong Hoang:
A Constrained Feature Selection Approach Based on Feature Clustering and Hypothesis Margin Maximization. Comput. Intell. Neurosci. 2021: 5554873:1-5554873:18 (2021) - Ziang Yan, Yiwen Guo, Changshui Zhang:
Adversarial Margin Maximization Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1129-1139 (2021) - Shujie Zhang, Zhengming Ma, Weichao Gan:
Dimensionality Reduction for Tensor Data Based on Local Decision Margin Maximization. IEEE Trans. Image Process. 30: 234-248 (2021) - Yiwen Mao, Qinghua Guo, Jinshan Ding, Fei Liu, Yanguang Yu:
Marginal Likelihood Maximization Based Fast Array Manifold Matrix Learning for Direction of Arrival Estimation. IEEE Trans. Signal Process. 69: 5512-5522 (2021) - Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla:
Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance. DATE 2021: 673-678 - Ziwei Ji, Nathan Srebro, Matus Telgarsky:
Fast margin maximization via dual acceleration. ICML 2021: 4860-4869 - Berry Weinstein, Shai Fine, Yacov Hel-Or:
Pairwise Margin Maximization for Deep Neural Networks. ICMLA 2021: 263-270 - Christian Artigues, Emmanuel Hebrard, Alain Quilliot, Hélène Toussaint:
Multi-Mode RCPSP with Safety Margin Maximization: Models and Algorithms. ICORES 2021: 129-136 - Kaifeng Lyu, Zhiyuan Li, Runzhe Wang, Sanjeev Arora:
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias. NeurIPS 2021: 12978-12991 - Cao Chen, Fen Zhou, Yuanhao Liu, Shilin Xiao:
Throughput Maximization Leveraging Just-Enough SNR Margin and Channel Spacing Optimization. CoRR abs/2106.07536 (2021) - Ziwei Ji, Nathan Srebro, Matus Telgarsky:
Fast Margin Maximization via Dual Acceleration. CoRR abs/2107.00595 (2021)
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