1. B. Amos, D. Yarats, The differentiable cross-entropy method (2019). arXiv:1909.12830 [cs.LG]
2. G. King, L. Zeng, Logistic regression in rare events data. Polit. Anal. 9(2), 137–163 (2001)
3. K. Lee, S. Maji, A. Ravichandran, et al., Meta-learning with differentiable convex optimization, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (IEEE, 2019)
4. A. Agrawal, B. Amos, S. Barratt, et al., Differentiable Convex Optimization Layers (2019). arXiv:1910.12430 [cs.LG]
5. L. Bertinetto, J.F. Henriques, P. Torr, et al., Meta-learning with differentiable closed-form solvers (2018). arXiv:1805.08136 [cs.CV]