Vladimir Koltchinskii

发表

Some New Bounds on the Generalization Error of Combined Classifiers

Dmitry Panchenko, Fernando Lozano, Vladimir Koltchinskii, 2000, NIPS.

Some Local Measures of Complexity of Convex Hulls and Generalization Bounds

Dmitry Panchenko, Olivier Bousquet, Vladimir Koltchinskii, 2002, COLT.

Statistical-learning control of multiple-delay systems with application to ATM networks

Chaouki T. Abdallah, Marco Ariola, Vladimir Koltchinskii, 2001, Kybernetika.

Sharp Oracle Inequalities in Low Rank Estimation

Vladimir Koltchinskii, 2013, Empirical Inference.

Statistical learning control of delay systems: theory and algorithms

Chaouki T. Abdallah, Marco Ariola, Vladimir Koltchinskii, 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

Improved sample complexity estimates for statistical learning control of uncertain systems

Dmitry Panchenko, Chaouki T. Abdallah, Marco Ariola, 2000, IEEE Trans. Autom. Control..

Rademacher penalties and structural risk minimization

Vladimir Koltchinskii, V. Koltchinskii, 2001, IEEE Trans. Inf. Theory.

Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits

Ming Yuan, Vladimir Koltchinskii, V. Koltchinskii, 2008, COLT.

On inverse problems with unknown operators

Vladimir Koltchinskii, Sam Efromovich, V. Koltchinskii, 2001, IEEE Trans. Inf. Theory.

Rademacher Complexities and Bounding the Excess Risk in Active Learning

Vladimir Koltchinskii, V. Koltchinskii, 2010, J. Mach. Learn. Res..

Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging

Manel Martínez-Ramón, Vladimir Koltchinskii, Stefan Posse, 2004, NIPS.

High dimensional probability : proceedings of the Fourth International Conference

Evarist Giné, Joel Zinn, Vladimir Koltchinskii, 2006 .

Self bounding genetic algorithms for machine learning

Fernando Lozano, Vladimir Koltchinskii, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

Sparsity in high-dimensional learning problems

Vladimir Koltchinskii, Ming Yuan, V. Koltchinskii, 2010 .

Further Explanation of the Effectiveness of Voting Methods: The Game between Margins and Weights

Dmitry Panchenko, Fernando Lozano, Vladimir Koltchinskii, 2001, COLT/EuroCOLT.

Exponential Convergence Rates in Classification

Vladimir Koltchinskii, Olexandra Beznosova, V. Koltchinskii, 2005, COLT.

Entropy Bounds for Restricted Convex Hulls

Vladimir Koltchinskii, 2003, COLT.

Optimal estimation of low rank density matrices

Dong Xia, Vladimir Koltchinskii, V. Koltchinskii, 2015, J. Mach. Learn. Res..

Generalization Bounds for Voting Classifiers Based on Sparsity and Clustering

Dmitry Panchenko, Vladimir Koltchinskii, Savina Andonova, 2003, COLT.

Statistical learning control of uncertain systems: theory and algorithms

Chaouki T. Abdallah, Marco Ariola, Peter Dorato, 2001, Appl. Math. Comput..

Applications of Statistical-Learning Methods in Systems and Control

Chaouki T. Abdallah, Marco Ariola, Vladimir Koltchinskii, 2001 .

Quantified inequalities and robust control

Chaouki T. Abdallah, Marco Ariola, Peter Dorato, 1998, Robustness in Identification and Control.

Estimation of smooth functionals in normal models: Bias reduction and asymptotic efficiency

Vladimir Koltchinskii, Mayya Zhilova, V. Koltchinskii, 2019, The Annals of Statistics.

Efficient estimation of smooth functionals in Gaussian shift models

Vladimir Koltchinskii, Mayya Zhilova, V. Koltchinskii, 2018, Annales de l'Institut Henri Poincaré, Probabilités et Statistiques.

Functional estimation in log-concave location families

Martin Wahl, Vladimir Koltchinskii, V. Koltchinskii, 2021, 2108.00263.

Komlos-Major-Tusnady approximation for the general empirical process and Haar expansions of classes of functions

Vladimir Koltchinskii, V. Koltchinskii, 1994 .

Efficient estimation of linear functionals of principal components

Vladimir Koltchinskii, Richard Nickl, Matthias Loffler, 2017, The Annals of Statistics.

Low rank estimation of smooth kernels on graphs

Vladimir Koltchinskii, Pedro Rangel, 2013 .

Testing for Ellipsoidal Symmetry of a Multivariate Distribution

Vladimir Koltchinskii, Lyudmila Sakhanenko, V. Koltchinskii, 2000 .

Weighted uniform consistency of kernel density estimators

Joel Zinn, Vladimir Koltchinskii, V. Koltchinskii, 2004 .

A Note on the Asymptotic Distribution of Berk—Jones Type Statistics under the Null Hypothesis

Jon A. Wellner, Vladimir Koltchinskii, J. Wellner, 2003 .

$L_1$-Penalization in Functional Linear Regression with Subgaussian Design

Vladimir Koltchinskii, Stanislav Minsker, V. Koltchinskii, 2013, 1307.8137.

Kernel density estimators: convergence in distribution for weighted sup-norms

Vladimir Koltchinskii, Lyudmila Sakhanenko, Evarist Giné, 2004 .

Three papers on boosting: An introduction

Vladimir Koltchinskii, V. Koltchinskii, B. Yu, 2003 .

Optimal Exponential Bounds on the Accuracy of Classification

Gerard Kerkyacharian, Dominique Picard, Vladimir Temlyakov, 2014 .

Normal approximation and concentration of spectral projectors of sample covariance

Vladimir Koltchinskii, Karim Lounici, V. Koltchinskii, 2015, 1504.07333.

Discussions of boosting papers, and rejoinders

Trevor Hastie, Peter J. Bickel, Robert Tibshirani, 2004 .

New Asymptotic Results in Principal Component Analysis

Vladimir Koltchinskii, Karim Lounici, V. Koltchinskii, 2016, Sankhya A.

Asymptotics and Concentration Bounds for Bilinear Forms of Spectral Projectors of Sample Covariance

Vladimir Koltchinskii, Karim Lounici, V. Koltchinskii, 2014, 1408.4643.

Perturbation of linear forms of singular vectors under Gaussian noise

Dong Xia, Vladimir Koltchinskii, V. Koltchinskii, 2015 .

Integral curves of noisy vector fields and statistical problems in diffusion tensor imaging: nonparametric kernel estimation and hypotheses testing

Vladimir Koltchinskii, Songhe Cai, Lyudmila Sakhanenko, 2007, 0710.3509.

Bounds on margin distributions in learning problems

Vladimir Koltchinskii, V. Koltchinskii, 2003 .

Ratio Limit Theorems for Empirical Processes

Jon A. Wellner, Vladimir Koltchinskii, Evarist Giné, 2003 .