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bartlett	Bin Zou	butcher	Cucker	differential privacy
elastic net	Guibo Ye	Micchelli	PHD thesis	pinelis
Quanwu Xiao	Regularized sliced inverse regression for kernel models	Sayan Mukherjee	semi-supervised learning	Smale
steinwart	Tong Zhang	Xin Guo	Zongben Xu	A note on different covering numbers in Learning Theory.pdf
A Supplementary Sample Non-Parametric Empirical Bayes Approach to Some Statistical Decision Problems.pdf	A tail inequality for suprema of unbounded.PDF	Adaptive Model Selection Using Empirical Complexities.pdf	alon97.pdf	An Asymptotic Theory for Sliced Inverse Regression.PDF
An Introduction to Lagrange Multipliers.doc	Analysis of Support Vector Machines Regression.pdf	approxCluster_tr[1].pdf	Approximation in learning theory.PDF	arxiv0903.3002.pdf
Concentration inequalities for dependent random variables via the martingale method.pdf	Concentration Inequalities.PDF	Consistency of empirical risk minimization for unbounded loss functions.pdf	Consistent estimation of the dimensionality in sliced inverse regression.PDF	Covering Number Bounds of Certain Regularized Linear Function Classes.pdf
Detecting the community structure in complex networks based on quantum mechanics.pdf	Dimension Reduction for Conditional Mean in Regression.PDF	Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces.pdf	Elastic-net regularization in learning theory.PDF	Estimating Surface Normals in Noisy Point Cloud Data.pdf
Extending Sliced Inverse Regression The Weighted Chi-Squared Test.PDF	Fast Rates for Support Vector Machines using Gaussian Kernels.pdf	hoeffding63.pdf	Implicit Surface Modelling with a Globally Regularised Basis of Compact Support.pdf	Injective Hilbert Space Embeddings of Probability Measures.pdf
Lagrange Multipliers without Permanent Scarring.pdf	Learning from non-identical sampling for classification.pdf	learning rates of least-square____ regression with l_1 regularizers.pdf	Learning Trigonometric Polynomials from Random Samples and Exponential Inequalities for Eigenvalues of Random Matrices.pdf	least square regularized regression with non i.i.d sampling.pdf
Local Rademacher complexities.pdf	Logarithmic Potential Theory with Applications to Approximation Theory.PDF	Making Indefinite Kernel Learning Practical.PDF	Max-margin Classification of Data with Absent Features.pdf	Measurement Error Regression with Unknown Link Dimension Reduction and Data Visualization.PDF
MIT-CSAIL-TR-2008-070.pdf	Model Selection for Regularized Least-Squares Algorithm in Learning Theory.pdf	Multicategory support vector machines.pdf	Non-uniform Randomized Sampling for Multivariate Approximation by High Order Parzen Windows.pdf	Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression.pdf
nonparametric change-point estimation.pdf	nonparametric independent component analysis.pdf	On Early Stopping in Gradient Descent Learning.pdf	On kernel method for sliced average variance estimation.PDF	ON MODEL SELECTION CONSISTENCY OF LASSO.pdf
On Recovery of Sparse Signals via l1 Minimization.pdf	On the influence of the kernel on the consistency of support vector machines.pdf	On the V-gamma dimension for regression in Reproducing Kernel Hilbert Spaces.pdf	Optimal global rates of convergence for nonparametric regression with unbounded data.pdf	Optimal Rates for the Regularized Least-Squares Algorithm.pdf
parzen62.pdf	probability inequalities for sums of independent random variables.pdf	randomdesign-arxiv.pdf	Rates of Convergence for Empirical Processes of Stationary Mixing Sequences.pdf	regression shrinkage and selection via the lasso.pdf
REGRESSION_QUANTILES.pdf	Regularization and statistical learning theory for data analysis.pdf	REGULARIZATION IN KERNEL LEARNING.pdf	Regularization Networks and Support Vector Machines.pdf	Regularized least square regression with dependent samples.pdf
regularizers for structured sparsity.pdf	rejchel12a.pdf	Robust uncertainty principles exact signal reconstruction from highly incomplete frequency information.pdf	rosasco05.PDF	Rosasco10a.pdf
RSIR Regularized Sliced Inverse Regression for Motif Discovery.PDF	sensitivity.pdf	Sliced Inverse Regression with Regularizations.PDF	Sliced mean variance–covariance inverse regression.PDF	Some Sharp Performance Bounds for Least Squares Regression with L1 Regularization.PDF
sparse online learning via truncated gradient.pdf	spectral algorithms for supervised learning.pdf	Stability Bounds for Stationary j-mixing and b-mixing Processes.pdf	Statistical Consistency of Kernel Canonical Correlation Analysis.pdf	Statistical performance of support vector machines.pdf
Structural Risk Minimization over Data-Dependent Hierarchies.pdf	subgaussian random variables.pdf	Sufficient Dimension Reduction in Regressions with Categorical Predictors.pdf	The Empirical Bayes Approach Estimating the Prior Distribution.pdf	THEORY OF CLASSIFICATION A SURVEY OF SOME RECENT ADVANCES.PDF
variable selection via nonconcave penalized likelyhood and its oracle properties.pdf

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