79 citations to https://www.mathnet.ru/rus/mzm4183
  1. d'Orsi T., Novikov G., Steurer D., “Consistent Regression When Oblivious Outliers Overwhelm”, Proceedings of Machine Learning Research, 139, eds. Meila M., Zhang T., Jmlr-Journal Machine Learning Research, 2021  isi
  2. Sasmal P., Jampana Ph., Sastry Ch.S., “Construction of Binary Matrices as a Union of Orthogonal Blocks Via Generalized Euler Squares”, IEEE Signal Process. Lett., 28 (2021), 882–886  crossref  isi
  3. Jameson Cahill, Dustin G. Mixon, Applied and Numerical Harmonic Analysis, Excursions in Harmonic Analysis, Volume 6, 2021, 343  crossref
  4. Roulet V., Boumal N., d'Aspremont A., “Computational Complexity Versus Statistical Performance on Sparse Recovery Problems”, Inf. Inference, 9:1 (2020), 1–32  crossref  mathscinet  isi  scopus
  5. Licheng Jiao, Ronghua Shang, Fang Liu, Weitong Zhang, Brain and Nature-Inspired Learning Computation and Recognition, 2020, 109  crossref
  6. Li G., Yan J., Gu Yu., “Information Theoretic Lower Bound of Restricted Isometry Property Constant”, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (Icassp), International Conference on Acoustics Speech and Signal Processing Icassp, IEEE, 2019, 5297–5301  isi
  7. Gen Li, Jingkai Yan, Yuantao Gu, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, 5297  crossref
  8. Bandeira A.S., Lewis M.E., Mixon D.G., “Discrete Uncertainty Principles and Sparse Signal Processing”, J. Fourier Anal. Appl., 24:4 (2018), 935–956  crossref  mathscinet  isi  scopus
  9. Algorithmic Aspects of Machine Learning, 2018, 150  crossref
  10. Algorithmic Aspects of Machine Learning, 2018, 48  crossref
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