Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity

Jianfeng Cai 0001, José Vinícius de Miranda Cardoso, Daniel P. Palomar, Jiaxi Ying. Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{0001CPY23,
  title = {Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity},
  author = {Jianfeng Cai 0001 and José Vinícius de Miranda Cardoso and Daniel P. Palomar and Jiaxi Ying},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/e878c8f38381d0964677fb9536c494ee-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/0001CPY23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}