1. Awasthi, P., Balcan, M., Haghtalab, N., & Urner, R. (2015). Efficient learning of linear separators under bounded noise. In Proceedings of the 28th Conference on Learning Theory, Paris, France, vol 40 (pp. 167–190).
2. Balcan, M., & Long, P. M. (2013). Active and passive learning of linear separators under log-concave distributions. In Proceedings of the 26th Annual Conference on Learning Theory, Princeton University, NJ, USA, vol 30 (pp. 288–316).
3. Cesa-Bianchi, N., Gentile, C., & Zaniboni, L. (2006). Worst-case analysis of selective sampling for linear classification. Journal of Machine Learning Research, 7, 1205–1230.
4. Crammer, K., Dekel, O., Keshet, J., Shalev-Shwartz, S., & Singer, Y. (2006). Online passive-aggressive algorithms. J Mach Learn Res, 7, 551–585.
5. Crammer, K., Dredze, M., & Pereira, F. (2012). Confidence-weighted linear classification for text categorization. Journal of Machine Learning Research, 13, 1891–1926.