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Publication search results
found 593 matches
- 2024
- Ming He, Hao Wen, Xinlei Hu, Boyang An:
ERMPD: causal intervention for popularity debiasing in recommendation via empirical risk minimization. CCF Trans. Pervasive Comput. Interact. 6(1): 36-51 (2024) - Linli Zhang, Georgios Karakasidis, Arina Odnoblyudova, Leyla Dogruel, Yu Tian, Alex Jung:
Explainable empirical risk minimization. Neural Comput. Appl. 36(8): 3983-3996 (2024) - Krzysztof Michalak:
Evolutionary algorithm with a regression model for multiobjective minimization of systemic risk in financial systems. Soft Comput. 28(5): 3921-3939 (2024) - Di Wang, Jinhui Xu:
Gradient complexity and non-stationary views of differentially private empirical risk minimization. Theor. Comput. Sci. 982: 114259 (2024) - Zhenling Mo, Zijun Zhang, Qiang Miao, Kwok-Leung Tsui:
Sparsity-Constrained Invariant Risk Minimization for Domain Generalization With Application to Machinery Fault Diagnosis Modeling. IEEE Trans. Cybern. 54(3): 1547-1559 (2024) - Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu:
Improving Deepfake Detection Generalization by Invariant Risk Minimization. IEEE Trans. Multim. 26: 6785-6798 (2024) - Jun-Hyun Bae, Chanwoo Kim, Tae-Young Chang:
Invariant Risk Minimization in Medical Imaging with Modular Data Representation. ICEIC 2024: 1-5 - Wanja de Sombre, Andrea Ortiz, Frank Aurzada, Anja Klein:
The Best Time for an Update: Risk-Sensitive Minimization of Age-Based Metrics. CoRR abs/2401.10265 (2024) - Chang Liu, Laura Klein, Yixing Huang, Edith Baader, Michael Lell, Marc Kachelrieß, Andreas K. Maier:
Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization. CoRR abs/2401.12725 (2024) - Kotaro Yoshida, Hiroki Naganuma:
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration. CoRR abs/2401.17541 (2024) - Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza, H. Vincent Poor:
Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences. CoRR abs/2402.00501 (2024) - Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav Kungurtsev, Wei Jiang, Yiran Chen:
Group Distributionally Robust Dataset Distillation with Risk Minimization. CoRR abs/2402.04676 (2024) - Adam Block, Alexander Rakhlin, Abhishek Shetty:
On the Performance of Empirical Risk Minimization with Smoothed Data. CoRR abs/2402.14987 (2024) - Xinyu Zhou, Raef Bassily:
Differentially Private Worst-group Risk Minimization. CoRR abs/2402.19437 (2024) - 2023
- Tomasz Klonecki, Pawel Teisseyre:
Feature selection under budget constraint in medical applications: analysis of penalized empirical risk minimization methods. Appl. Intell. 53(24): 29943-29973 (2023) - Changzhi Su, Li Zhang, Lei Zhao:
Online local fisher risk minimization: a new online kernel method for online classification. Appl. Intell. 53(14): 17662-17678 (2023) - Xuelin Zhang, Yingjie Wang, Liangxuan Zhu, Hong Chen, Han Li, Lingjuan Wu:
Robust variable structure discovery based on tilted empirical risk minimization. Appl. Intell. 53(14): 17865-17886 (2023) - Zhiwang Zhang, Jing He, Hui Zheng, Jie Cao, Gang Wang, Yong Shi:
Alternating Minimization-Based Sparse Least-Squares Classifier for Accuracy and Interpretability Improvement of Credit Risk Assessment. Int. J. Inf. Technol. Decis. Mak. 22(1): 537-567 (2023) - Wanqing Xie, Yubin Ge, Site Li, Mingzhen Li, Zhenhua Guo, Xiaofeng Liu:
Inducing semantic hierarchy structure in empirical risk minimization with optimal transport measures. Neurocomputing 530: 1-10 (2023) - Alessio Molinari, Andrea Esuli, Fabrizio Sebastiani:
Improved risk minimization algorithms for technology-assisted review. Intell. Syst. Appl. 18: 200209 (2023) - Georg E. A. Froehlich, Margaretha Gansterer, Karl F. Doerner:
Safe and secure vehicle routing: a survey on minimization of risk exposure. Int. Trans. Oper. Res. 30(6): 3087-3121 (2023) - Matthew D. Norton, Johannes O. Royset:
Diametrical Risk Minimization: theory and computations. Mach. Learn. 112(8): 2933-2951 (2023) - Corneliu Florea, Constantin Vertan, Laura Florea:
SoftClusterMix: learning soft boundaries for empirical risk minimization. Neural Comput. Appl. 35(16): 12039-12053 (2023) - Casper Gyurik, Dyon van Vreumingen, Vedran Dunjko:
Structural risk minimization for quantum linear classifiers. Quantum 7: 893 (2023) - Shutian Liu, Tao Li, Quanyan Zhu:
Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design. IEEE Trans. Signal Inf. Process. over Networks 9: 542-556 (2023) - Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong:
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract). AAAI 2023: 16280-16281 - Songyang Gao, Shihan Dou, Yan Liu, Xiao Wang, Qi Zhang, Zhongyu Wei, Jin Ma, Ying Shan:
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization. ACL (1) 2023: 12177-12189 - Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. AISTATS 2023: 4894-4916 - Lianke Qin, Zhao Song, Lichen Zhang, Danyang Zhuo:
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization. AISTATS 2023: 101-156 - Robi Bhattacharjee, Max Hopkins, Akash Kumar, Hantao Yu, Kamalika Chaudhuri:
Robust Empirical Risk Minimization with Tolerance. ALT 2023: 182-203
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