Linear regression without correspondences via concave minimization

Here is the code that implements the algorithm described in:

• L. Peng, M. C. Tsakiris, "Linear regression without correspondences via concave minimization", arXiv:2003.07706 [cs.IT], 2020.

Related publication

Theoretical and algorithmic developments related to this paper can be found at:

• L. Peng, B. Wang, M. C. Tsakiris, ``Homomorphic sensing of subspace arrangements'', arXiv:2006.05158 [cs.LG], 2020.
• M. C.Tsakiris, L. Peng, A. Conca, L. Kneip, Y. Shi, and H. Choi, "An algebraic-geometric approach to linear regression without correspondences", IEEE Transactions on Information Theory (to appear), 2020.
• M. C. Tsakiris and L. Peng, "Homomorphic sensing", International Conference on Machine Learning (ICML), 2019.
• L. Peng, X. Song, M. C. Tsakiris, H. Choi, L. Kneip and Y. Shi, "Algebraically-initialized Expectation Maximization for Header-free Communication," International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.