Mahsa Taheri

12 papers A* 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
How many samples are needed to train a deep neural network?
ICLR
Pegah Golestaneh, Mahsa Taheri, Johannes Lederer
2025 J jnl
Non-asymptotic error bounds for probability flow ODEs under weak log-concavity.
CoRR
Gitte Kremling, Francesco Iafrate, Mahsa Taheri, Johannes Lederer
2025 J jnl
Regularization can make diffusion models more efficient.
CoRR
Mahsa Taheri, Johannes Lederer
2025 J jnl
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks.
Trans. Mach. Learn. Res.
Mahsa Taheri, Fang Xie, Johannes Lederer
2023 J jnl
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression.
IEEE Trans. Inf. Theory
Mahsa Taheri, Néhémy Lim, Johannes Lederer
2023 — —
Statistical guarantees for regularized (approximate) estimators in machine learning.
Mahsa Taheri
2022 J jnl
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks.
CoRR
Mahsa Taheri, Fang Xie, Johannes Lederer
2021 J jnl
Statistical guarantees for regularized neural networks.
Neural Networks
Mahsa Taheri, Fang Xie, Johannes Lederer
2020 J jnl
Statistical Guarantees for Regularized Neural Networks.
CoRR
Mahsa Taheri, Fang Xie, Johannes Lederer
2019 J jnl
A self-adaptive local metric learning method for classification.
Pattern Recognit.
Mahsa Taheri, Zahra Moslehi, Abdolreza Mirzaei, Mehran Safayani
2018 J jnl
Discriminative Fuzzy C-Means as a Large Margin Unsupervised Metric Learning Algorithm.
IEEE Trans. Fuzzy Syst.
Zahra Moslehi, Mahsa Taheri, Abdolreza Mirzaei, Mehran Safayani
2015 — conf
Effects of changing in the neck circumference during sleep on snoring sound characteristics.
EMBC
Shumit Saha, Mahsa Taheri, Zahra Mossuavi, Azadeh Yadollahi