References

Bundle methods

• Alexander J. Smola, S. V. N. Vishwanathan, Quoc V. Le (2007). Bundle Methods for Machine Learning. Proceedings of the 20th International Conference on Neural Information Processing Systems (NIPS'07), 1377-1384. 🔗

• Choon Hui Teo, S. V. N. Vishwanthan, Alex J. Smola, Quoc V. Le (2010). Bundle Methods for Regularized Risk Minimization. Journal of Machine Learning Research, 11(1), 311−365. 🔗

• Marko Mäkelä (2002). Survey of Bundle Methods for Nonsmooth Optimization. Optimization Methods and Software, 17(1), 1-29. 🔗

Support vector machines

• Bernhard Schölkopf, Alexander J. Smola, Robert C. Williamson, Peter L. Bartlett (2000). New Support Vector Algorithms. Neural Computation, 12(5), 1207-1245. 🔗

• Chih-Chung Chang, Chih-Jen Lin (2001). Training ν-Support Vector Classifiers: Theory and Algorithms. Neural Computation, 13(9), 2119-2147. 🔗

• Chih-Chung Chang, Chih-Jen Lin (2002). Training ν-Support Vector Regression: Theory and Algorithms. Neural Computation, 14(8), 1959-1977. 🔗

• Pai-Hsuen Chen, Chih-Jen Lin, Bernhard Schölkopf (2005). A tutorial on ν-support vector machines. Applied Stochastic Models in Business and Industry, 21(2), 111–136. 🔗

Bayesian optimization

• Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, Nando de Freitas (2016). Taking the Human Out of the Loop: A Review of Bayesian Optimization. Proceedings of the IEEE, 104(1), 148-175. 🔗