Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning

Pritam Chandra, Ankit Garg, Neeraj Kayal, Kunal Mittal, Tanmay Sinha. Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning. In Venkatesan Guruswami, editor, 15th Innovations in Theoretical Computer Science Conference, ITCS 2024, January 30 to February 2, 2024, Berkeley, CA, USA. Volume 287 of LIPIcs, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024. [doi]

@inproceedings{ChandraGKMS24,
  title = {Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning},
  author = {Pritam Chandra and Ankit Garg and Neeraj Kayal and Kunal Mittal and Tanmay Sinha},
  year = {2024},
  doi = {10.4230/LIPIcs.ITCS.2024.25},
  url = {https://doi.org/10.4230/LIPIcs.ITCS.2024.25},
  researchr = {https://researchr.org/publication/ChandraGKMS24},
  cites = {0},
  citedby = {0},
  booktitle = {15th Innovations in Theoretical Computer Science Conference, ITCS 2024, January 30 to February 2, 2024, Berkeley, CA, USA},
  editor = {Venkatesan Guruswami},
  volume = {287},
  series = {LIPIcs},
  publisher = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik},
  isbn = {978-3-95977-309-6},
}