Statistical learning theory and stochastic optimization

Statistical learning theory and stochastic optimization , Statistical learning theory and stochastic optimization , کتابخانه دیجیتال جندی شاپور اهواز

[1]  Feller William,et al.  An Introduction To Probability Theory And Its Applications , 1950 .

[2]  W. Hoeffding.  Probability Inequalities for sums of Bounded Random Variables , 1963 .

[3]  Amiel Feinstein,et al.  Information and information stability of random variables and processes , 1964 .

[4]  Lucien Birgé.  Approximation dans les espaces métriques et théorie de l'estimation , 1983 .

[5]  A. Barron.  Are Bayes Rules Consistent in Information , 1987 .

[6]  O. Catoni.  Rough Large Deviation Estimates for Simulated Annealing: Application to Exponential Schedules , 1992 .

[7]  I. Daubechies,et al.  Wavelets on the Interval and Fast Wavelet Transforms , 1993 .

[8]  I. Johnstone,et al.  Ideal spatial adaptation by wavelet shrinkage , 1994 .

[9]  M. Talagrand.  Concentration of measure and isoperimetric inequalities in product spaces , 1994, math/9406212.

[10]  A. Trouvé.  Rough Large Deviation Estimates for the Optimal Convergence Speed Exponent of Generalized Simulated , 1994 .

[11]  Neri Merhav,et al.  A strong version of the redundancy-capacity theorem of universal coding , 1995, IEEE Trans. Inf. Theory.

[12]  I. Johnstone,et al.  Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .

[13]  Neri Merhav,et al.  Hierarchical universal coding , 1996, IEEE Trans. Inf. Theory.

[14]  G. B. Arous,et al.  Metastability of the Three Dimensional Ising Model on a Torus at Very Low Temperatures , 1996 .

[15]  A. Trouvé.  Cycle Decompositions and Simulated Annealing , 1996 .

[16]  K. Marton.  A measure concentration inequality for contracting markov chains , 1996 .

[17]  A. Dembo,et al.  TRANSPORTATION APPROACH TO SOME CONCEN- TRATION INEQUALITIES IN PRODUCT SPACES , 1996 .

[18]  Laurent Alonso,et al.  The three dimensional polyominoes of minimal area , 1996, Electron. J. Comb..

[19]  K. Marton.  Bounding $\bar{d}$-distance by informational divergence: a method to prove measure concentration , 1996 .

[20]  M. Ledoux,et al.  Isoperimetry and Gaussian analysis , 1996 .

[21]  I. Johnstone,et al.  Density estimation by wavelet thresholding , 1996 .

[22]  G. Lugosi,et al.  Consistency of Data-driven Histogram Methods for Density Estimation and Classification , 1996 .

[23]  A. Nobel.  Histogram regression estimation using data-dependent partitions , 1996 .

[24]  M. Nussbaum.  Asymptotic Equivalence of Density Estimation and Gaussian White Noise , 1996 .

[25]  Yuhong Yang.  On Adaptive Function Estimation , 1997 .

[26]  P. Massart,et al.  From Model Selection to Adaptive Estimation , 1997 .

[27]  I. Johnstone,et al.  Universal Near Minimaxity of Wavelet Shrinkage , 1997 .

[28]  M. Ledoux.  On Talagrand's deviation inequalities for product measures , 1997 .

[29]  L. Saloff-Coste,et al.  Lectures on finite Markov chains , 1997 .

[30]  O. Catoni.  The Mixture Approach to Universal Model Selection , 1997 .

[31]  A. Barron,et al.  Asymptotic minimax regret for data compression, gambling and prediction , 1997, Proceedings of IEEE International Symposium on Information Theory.

[32]  A. Tsybakov,et al.  Wavelets, approximation, and statistical applications , 1998 .

[33]  Paul-Marie Samson.  Inegalites de concentration de la mesure pour des chaines de markov et des processus -melangeants , 1998 .

[34]  Yannick Baraud.  Sélection de modèles et estimation adaptative dans différents cadres de régression , 1998 .

[35]  K. Marton.  Measure concentration for a class of random processes , 1998 .

[36]  P. Massart,et al.  Minimum contrast estimators on sieves: exponential bounds and rates of convergence , 1998 .

[37]  P. Massart,et al.  Risk bounds for model selection via penalization , 1999 .

[38]  Yuhong Yang,et al.  Information-theoretic determination of minimax rates of convergence , 1999 .

[39]  David A. McAllester.  PAC-Bayesian model averaging , 1999, COLT '99.

[40]  O. Catoni.  Simulated annealing algorithms and Markov chains with rare transitions , 1999 .

[41]  G. Blanchard.  The “progressive mixture” estimator for regression trees , 1999 .

[42]  M. Ledoux.  Concentration of measure and logarithmic Sobolev inequalities , 1999 .

[43]  I. Johnstone,et al.  ASYMPTOTIC MINIMAXITY OF WAVELET ESTIMATORS WITH SAMPLED DATA , 1999 .

[44]  I. Johnstone.  Wavelets and the theory of non-parametric function estimation , 1999, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[45]  Paul-Marie Samson,et al.  Concentration of measure inequalities for Markov chains and $\Phi$-mixing processes , 2000 .

[46]  S. Boucheron,et al.  A sharp concentration inequality with applications , 1999, Random Struct. Algorithms.

[47]  Arkadi Nemirovski,et al.  Topics in Non-Parametric Statistics , 2000 .

[48]  A. Juditsky,et al.  Functional aggregation for nonparametric regression , 2000 .

[49]  Olivier Catoni,et al.  DATA COMPRESSION AND ADAPTIVE HISTOGRAMS , 2002 .

[50]  P. Massart,et al.  An Adaptive Compression Algorithm in Besov Spaces , 2000 .

[51]  O. Catoni,et al.  The loop erased exit path and the metastability of a biased vote process , 2000 .

[52]  P. Massart,et al.  About the constants in Talagrand's concentration inequalities for empirical processes , 2000 .

[53]  Yuhong Yang.  Combining Different Procedures for Adaptive Regression , 2000, Journal of Multivariate Analysis.

[54]  O. Catoni.  Laplace transform estimates and deviation inequalities , 2001 .

[55]  P. Massart,et al.  Gaussian model selection , 2001 .

[56]  Y. Baraud,et al.  ADAPTIVE ESTIMATION IN AUTOREGRESSION OR β-MIXING REGRESSION VIA MODEL SELECTION By , 2001 .

[57]  Jean-Philippe Vert,et al.  Adaptive context trees and text clustering , 2001, IEEE Trans. Inf. Theory.

[58]  Gilles Blanchard.  Méthodes de mélange et d'agrégation d'estimateurs en reconnaissance de formes : Application aux arbres de décision , 2001 .

[59]  Y. Baraud,et al.  MODEL SELECTION FOR (AUTO-)REGRESSION WITH DEPENDENT DATA , 2001 .

[60]  Jean-Philippe Vert.  Text Categorization Using Adaptive Context Trees , 2001, CICLing.

[61]  David A. McAllester.  Some PAC-Bayesian Theorems , 1998, COLT' 98.

[62]  A. Goldenshluger.  On Spatial Adaptive Estimation of Nonparametric Regression , 2004 .