Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing

Namiko Matsumoto, Arya Mazumdar. Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing. In 63rd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2022, Denver, CO, USA, October 31 - November 3, 2022. pages 813-822, IEEE, 2022. [doi]

@inproceedings{MatsumotoM22,
  title = {Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing},
  author = {Namiko Matsumoto and Arya Mazumdar},
  year = {2022},
  doi = {10.1109/FOCS54457.2022.00082},
  url = {https://doi.org/10.1109/FOCS54457.2022.00082},
  researchr = {https://researchr.org/publication/MatsumotoM22},
  cites = {0},
  citedby = {0},
  pages = {813-822},
  booktitle = {63rd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2022, Denver, CO, USA, October 31 - November 3, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-5519-0},
}