Funder
Agence Nationale de la Recherche
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference42 articles.
1. Absil, P. A., Mahony, R., & Sepulchre, R. (2009). Optimization algorithms on matrix manifolds. Princeton: Princeton University Press.
2. Bach, F. R., Lanckriet, G. R., & Jordan, M. I. (2004). Multiple kernel learning, conic duality, and the smo algorithm. In: Proceedings of the twenty-first international conference on Machine learning. ACM, p. 6
3. Benamou, J. D., Carlier, G., Cuturi, M., Nenna, L., & Peyré, G. (2015). Iterative bregman projections for regularized transportation problems. SIAM Journal on Scientific Computing, 37(2), A1111–A1138.
4. Bengio, Y. (2000). Gradient-based optimization of hyperparameters. Neural Computation, 12(8), 1889–1900.
5. Bengio, Y. (2009). Learning deep architectures for ai. Foundations and trends
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. Machine Learning, 2(1), 1–127.
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