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[1] G. Pisier. Martingales with values in uniformly convex spaces , 1975 .
[2] 丸山 徹. Convex Analysisの二,三の進展について , 1977 .
[3] I. Pinelis. OPTIMUM BOUNDS FOR THE DISTRIBUTIONS OF MARTINGALES IN BANACH SPACES , 1994, 1208.2200.
[4] A. Lewis. The Convex Analysis of Unitarily Invariant Matrix Functions , 1995 .
[5] Dale Schuurmans,et al. General Convergence Results for Linear Discriminant Updates , 1997, COLT '97.
[6] Manfred K. Warmuth,et al. Exponentiated Gradient Versus Gradient Descent for Linear Predictors , 1997, Inf. Comput..
[7] Claudio Gentile,et al. The Robustness of the p-Norm Algorithms , 1999, COLT '99.
[8] Adrian S. Lewis,et al. Convex Analysis And Nonlinear Optimization , 2000 .
[9] C. Zălinescu. Convex analysis in general vector spaces , 2002 .
[10] Ron Meir,et al. Generalization Error Bounds for Bayesian Mixture Algorithms , 2003, J. Mach. Learn. Res..
[11] Nello Cristianini,et al. Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..
[12] Manfred K. Warmuth,et al. Relative Loss Bounds for Multidimensional Regression Problems , 1997, Machine Learning.
[13] Yoram Singer,et al. Convex Repeated Games and Fenchel Duality , 2006, NIPS.
[14] Shai Ben-David,et al. Learning Bounds for Support Vector Machines with Learned Kernels , 2006, COLT.
[15] Gábor Lugosi,et al. Prediction, learning, and games , 2006 .
[16] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[17] Yoram Singer,et al. A primal-dual perspective of online learning algorithms , 2007, Machine Learning.
[18] Shai Shalev-Shwartz,et al. Online learning: theory, algorithms and applications (למידה מקוונת.) , 2007 .
[19] Peter L. Bartlett,et al. Matrix regularization techniques for online multitask learning , 2008 .
[20] Ambuj Tewari,et al. On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization , 2008, NIPS.
[21] A. Juditsky,et al. Large Deviations of Vector-valued Martingales in 2-Smooth Normed Spaces , 2008, 0809.0813.
[22] Claudio Gentile,et al. Linear Algorithms for Online Multitask Classification , 2010, COLT.
[23] Yoram Singer,et al. On the equivalence of weak learnability and linear separability: new relaxations and efficient boosting algorithms , 2010, Machine Learning.
[24] Manfred K. Warmuth,et al. Online variance minimization , 2011, Machine Learning.