Fedor Zhdanov

I graduated with a Ph D from Department of Computer Science of Royal Holloway, University of London at the end of 2010. Please see my website.

During my Ph D years, I was working in competitive on-line prediction, and was involved in the EPSRC project Practical Competitive Prediction. I have been working with the Brier multiclassification game, second-guessing experts, Supermartingales In Prediction With Expert Advice, Gaussian Linear Experts, Prediction With Expert Advice Under Discounted Loss and many other problems.

contact: first_name.last_name At gmail.com

Major Publications

Journal publications

  1. F. Zhdanov and Y. Kalnishkan. An identity for Kernel Ridge Regression. Theoretical Computer Science 2013.
  2. F. Zhdanov and Y. Kalnishkan. Universal Algorithms for Probability Forecasting. International Journal on Artificial Intelligence Tools, Vol. 21, No. 04, 2012.
  3. Chernov, Y. Kalnishkan, F. Zhdanov, and V. Vovk. Supermartingales in Prediction with Expert Advice. Theoretical Computer Science, 411, pages 2647-2669, 2010.
  4. V. Vovk and F. Zhdanov. Prediction with Expert Advice for the Brier game. Journal of Machine Learning Research, 10, pages 2413-2440, 2009.
  5. A.A. Lukianitsa, F.M. Zhdanov and F.S. Zaitsev. Analyses of ITER operation mode using the support vector machine technique for plasma discharge classification. Plasma Phys. Control. Fusion, 50, 065013, 2008.

Conference publications

  1. F. Zhdanov, V. Vovk, B. Burford, D. Devetyarov, I. Nouretdinov, and A. Gammerman. Online prediction of ovarian cancer. Proceedings of the 12th Conference on Artificial Intelligence in Medicine, 2009.
  2. A. Chernov and F. Zhdanov. Prediction with Expert Advice under discounted loss, ALT 2010 proceedings.
  3. F. Zhdanov, V. Vovk. Competitive online generalized linear regression under square loss, ECML 2010 proceedings.
  4. Vladimir Vovk and Fedor Zhdanov. Prediction with expert advice for the Brier game. In Proceedings of the 25th International Conference on Machine Learning (ICML), pages 1104–1111, 2008.
  5. more to put