From ɛ-entropy to KL-entropy: Analysis of minimum information complexity density estimation
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[1] A. Rényi. On Measures of Entropy and Information , 1961 .
[2] L. Lecam. Convergence of Estimates Under Dimensionality Restrictions , 1973 .
[3] L. L. Cam,et al. Asymptotic Methods In Statistical Decision Theory , 1986 .
[4] J. Rissanen. Stochastic Complexity in Statistical Inquiry Theory , 1989 .
[5] Andrew R. Barron,et al. Minimum complexity density estimation , 1991, IEEE Trans. Inf. Theory.
[6] Jon A. Wellner,et al. Weak Convergence and Empirical Processes: With Applications to Statistics , 1996 .
[7] P. Gänssler. Weak Convergence and Empirical Processes - A. W. van der Vaart; J. A. Wellner. , 1997 .
[8] Jorma Rissanen,et al. Stochastic Complexity in Statistical Inquiry , 1989, World Scientific Series in Computer Science.
[9] Tong Zhang,et al. Theoretical analysis of a class of randomized regularization methods , 1999, COLT '99.
[10] L. Wasserman,et al. The consistency of posterior distributions in nonparametric problems , 1999 .
[11] Yuhong Yang,et al. Information-theoretic determination of minimax rates of convergence , 1999 .
[12] A. Barron,et al. Estimation of mixture models , 1999 .
[13] S. Geer. Empirical Processes in M-Estimation , 2000 .
[14] A. V. D. Vaart,et al. Convergence rates of posterior distributions , 2000 .
[15] L. Wasserman,et al. Rates of convergence of posterior distributions , 2001 .
[16] Simon Haykin,et al. An Approach to Adaptive Classification , 2001 .
[17] N. Hjort,et al. On Bayesian consistency , 2001 .
[18] Matthias Seeger,et al. PAC-Bayesian Generalization Error Bounds for GaussianPro ess Classi ationMatthias , 2002 .
[19] Tong Zhang,et al. Learning Bounds for a Generalized Family of Bayesian Posterior Distributions , 2003, NIPS.
[20] Ron Meir,et al. Generalization Error Bounds for Bayesian Mixture Algorithms , 2003, J. Mach. Learn. Res..
[21] O. Catoni. A PAC-Bayesian approach to adaptive classification , 2004 .