Dima Kuzmin

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	2012
j3		Manfred K. Warmuth, Dima Kuzmin: Online variance minimization. Machine Learning 87(1): 1-32 (2012)
	2010
j2		Manfred K. Warmuth, Dima Kuzmin: Bayesian generalized probability calculus for density matrices. Machine Learning 78(1-2): 63-101 (2010)
	2007
j1		Dima Kuzmin, Manfred K. Warmuth: Unlabeled Compression Schemes for Maximum Classes. Journal of Machine Learning Research 8: 2047-2081 (2007)
c6		Dima Kuzmin, Manfred K. Warmuth: Online kernel PCA with entropic matrix updates. ICML 2007: 465-472
	2006
c5		Manfred K. Warmuth, Dima Kuzmin: Online Variance Minimization. COLT 2006: 514-528
c4		Manfred K. Warmuth, Dima Kuzmin: Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension. NIPS 2006: 1481-1488
c3		Manfred K. Warmuth, Dima Kuzmin: A Bayesian Probability Calculus for Density Matrices. UAI 2006
	2005
c2		Dima Kuzmin, Manfred K. Warmuth: Unlabeled Compression Schemes for Maximum Classes, . COLT 2005: 591-605
c1		Dima Kuzmin, Manfred K. Warmuth: Optimum Follow the Leader Algorithm. COLT 2005: 684-686

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