1. Alvarez, A.M., Louveaux, Q., Wehenkel, L.: A machine learning-based approximation of strong branching. INFORMS J. Comput. 29(1), 185–195 (2017)
2. Andrychowicz, M., Denil, M., Gomez, S., Hoffman, M.W., Pfau, D., Schaul, T., Shillingford, B., De Freitas, N.: Learning to learn by gradient descent by gradient descent. In: Adv. Neur. In., pp. 3981–3989 (2016)
3. Balcan, M., Dick, T., Sandholm, T., Vitercik, E.: Learning to branch. In: Int. Conf. Mach. Learn., pp. 353–362 (2018)
4. Balcan, M., Nagarajan, V., Vitercik, E., White, C.: Learning-theoretic foundations of algorithm configuration for combinatorial partitioning problems. In: Proc. Conf. Learn. Th., pp. 213–274 (2017)
5. Balte, A., Pise, N., Kulkarni, P.: Meta-learning with landmarking: A survey. Int. J. Comput. Appl. 105(8) (2014)