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Books and Theses
- 2023
[b1]Mahsa Taheri:
Statistical guarantees for regularized (approximate) estimators in machine learning. Ruhr University Bochum, Germany, 2023
Journal Articles
- 2023
- [j4]Mahsa Taheri
, Néhémy Lim, Johannes Lederer:
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression. IEEE Trans. Inf. Theory 69(1): 316-333 (2023) - 2021
- [j3]Mahsa Taheri, Fang Xie, Johannes Lederer:
Statistical guarantees for regularized neural networks. Neural Networks 142: 148-161 (2021) - 2019
- [j2]Mahsa Taheri, Zahra Moslehi, Abdolreza Mirzaei, Mehran Safayani:
A self-adaptive local metric learning method for classification. Pattern Recognit. 96 (2019) - 2018
- [j1]Zahra Moslehi, Mahsa Taheri, Abdolreza Mirzaei, Mehran Safayani:
Discriminative Fuzzy C-Means as a Large Margin Unsupervised Metric Learning Algorithm. IEEE Trans. Fuzzy Syst. 26(6): 3534-3544 (2018)
Conference and Workshop Papers
- 2015
- [c1]Shumit Saha, Mahsa Taheri, Zahra Mossuavi, Azadeh Yadollahi:
Effects of changing in the neck circumference during sleep on snoring sound characteristics. EMBC 2015: 2235-2238
Informal and Other Publications
- 2022
- [i2]Mahsa Taheri, Fang Xie, Johannes Lederer:
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks. CoRR abs/2205.04491 (2022) - 2020
- [i1]Mahsa Taheri, Fang Xie, Johannes Lederer:
Statistical Guarantees for Regularized Neural Networks. CoRR abs/2006.00294 (2020)
Coauthor Index
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