Vladimir Koltchinskii

According to our database1, Vladimir Koltchinskii authored at least 20 papers between 1998 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2015
Optimal estimation of low rank density matrices.
J. Mach. Learn. Res., 2015

2013
Sharp Oracle Inequalities in Low Rank Estimation.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2010
Rademacher Complexities and Bounding the Excess Risk in Active Learning.
J. Mach. Learn. Res., 2010

Sparse Recovery in Convex Hulls of Infinite Dictionaries.
Proceedings of the COLT 2010, 2010

2008
Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

2006
fMRI pattern classification using neuroanatomically constrained boosting.
NeuroImage, 2006

2005
Self bounding genetic algorithms for machine learning.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Exponential Convergence Rates in Classification.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2004
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Generalization Bounds for Voting Classifiers Based on Sparsity and Clustering.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

Entropy Bounds for Restricted Convex Hulls.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002
Some Local Measures of Complexity of Convex Hulls and Generalization Bounds.
Proceedings of the Computational Learning Theory, 2002

2001
Rademacher penalties and structural risk minimization.
IEEE Trans. Inf. Theory, 2001

On inverse problems with unknown operators.
IEEE Trans. Inf. Theory, 2001

Statistical-learning control of multiple-delay systems with application to ATM networks.
Kybernetika, 2001

Statistical learning control of uncertain systems: theory and algorithms.
Appl. Math. Comput., 2001

Further Explanation of the Effectiveness of Voting Methods: The Game between Margins and Weights.
Proceedings of the Computational Learning Theory, 2001

2000
Improved sample complexity estimates for statistical learning control of uncertain systems.
IEEE Trans. Autom. Control., 2000

Some New Bounds on the Generalization Error of Combined Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1998
Quantified inequalities and robust control.
Proceedings of the Robustness in Identification and Control, Workshop Robustness in Identification and Control, Siena, Italy, July 30, 1998


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