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Vladimir Koltchinskii - Publications

Affiliations: 
University of New Mexico, Albuquerque, NM, United States 
Area:
Mathematics
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24 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2013 Koltchinskii V. Sharp oracle inequalities in low rank estimation Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik. 217-230. DOI: 10.1007/978-3-642-41136-6_19  0.349
2011 Koltchinskii V. Linear programming in sparse recovery Lecture Notes in Mathematics. 2033: 121-149. DOI: 10.1007/978-3-642-22147-7_7  0.373
2011 Koltchinskii V. Bounding expected sup-norms of empirical and Rademacher processes Lecture Notes in Mathematics. 2033: 33-57. DOI: 10.1007/978-3-642-22147-7_3  0.379
2010 Koltchinskii V, Yuan M. Sparsity in multiple kernel learning Annals of Statistics. 38: 3660-3695. DOI: 10.1214/10-Aos825  0.302
2010 Koltchinskii V. Rademacher complexities and bounding the excess risk in active learning Journal of Machine Learning Research. 11: 2457-2485.  0.303
2006 Martínez-Ramón M, Koltchinskii V, Heileman GL, Posse S. fMRI pattern classification using neuroanatomically constrained boosting. Neuroimage. 31: 1129-41. PMID 16529955 DOI: 10.1016/J.Neuroimage.2006.01.022  0.353
2005 Koltchinskii V, Panchenko D. Complexities of convex combinations and bounding the generalization error in classification Annals of Statistics. 33: 1455-1496. DOI: 10.1214/009053605000000228  0.684
2005 Lozano F, Koltchinskii V. Self bounding genetic algorithms for machine learning Proceedings - Icmla 2005: Fourth International Conference On Machine Learning and Applications. 2005: 343-350. DOI: 10.1109/ICMLA.2005.57  0.314
2004 Koltchinskii V, Yu B. Three papers on boosting: An introduction Annals of Statistics. 32: 12. DOI: 10.1214/Aos/1079120127  0.343
2004 Giné E, Koltchinskii V, Sakhanenko L. Kernel density estimators: Convergence in distribution for weighted sup-norms Probability Theory and Related Fields. 130: 167-198. DOI: 10.1007/S00440-004-0339-X  0.328
2003 Koltchinskii V. Bounds on margin distributions in learning problems Annales De L'Institut Henri Poincare (B) Probability and Statistics. 39: 943-978. DOI: 10.1016/S0246-0203(03)00023-2  0.316
2003 Koltchinskii V. Entropy bounds for restricted convex hulls Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2777: 741-742.  0.314
2003 Koltchinskii V, Panchenko D, Lozano F. Bounding the generalization error of convex combinations of classifiers: Balancing the dimensionality and the margins Annals of Applied Probability. 13: 213-252.  0.644
2003 Koltchinskii V, Panchenko D, Andonova S. Generalization bounds for voting classifiers based on sparsity and clustering Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2777: 492-505.  0.615
2002 Abdallah CT, Amato F, Ariola M, Dorato P, Koltchinskii V. Statistical learning methods in linear algebra and control problems: The example of finite-time control of uncertain linear systems Linear Algebra and Its Applications. 351: 11-26. DOI: 10.1016/S0024-3795(01)00599-7  0.374
2002 Bousquet O, Koltchinskii V, Panchenko D. Some local measures of complexity of convex hulls and generalization bounds Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2375: 59-73.  0.655
2002 Koltchinskii V, Panchenko D. Empirical margin distributions and bounding the generalization error of combined classifiers Annals of Statistics. 30: 1-50.  0.674
2001 Ariola M, Abdallah CT, Koltchinskii V. Applications of Statistical-Learning Methods in Systems and Control Ifac Proceedings Volumes. 34: 175-180. DOI: 10.1016/S1474-6670(17)41618-1  0.332
2001 Koltchinskii V, Abdallah CT, Ariola M, Dorato P. Statistical learning control of uncertain systems: Theory and algorithms Applied Mathematics and Computation. 120: 31-43. DOI: 10.1016/S0096-3003(99)00283-0  0.334
2001 Koltchinskii V, Panchenko D, Lozano F. Further explanation of the effectiveness of voting methods: The game between margins and weights Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2111: 241-255.  0.665
2001 Koltchinskii V, Panchenko D, Lozano F. Some new bounds on the generalization error of combined classifiers Advances in Neural Information Processing Systems.  0.693
2000 Koltchinskii V, Abdallah CT, Ariola M, Dorato P, Panchenko D. Improved sample complexity estimates for statistical learning control of uncertain systems Ieee Transactions On Automatic Control. 45: 2383-2388. DOI: 10.1109/9.895579  0.586
1999 Abdallah CT, Ariola M, Dorato P, Koltchinskii V. Quantified inequalities and robust control Lecture Notes in Control and Information Sciences. 373-390. DOI: 10.1007/Bfb0109881  0.373
1994 Koltchinskii VI. Komlos-Major-Tusnady approximation for the general empirical process and Haar expansions of classes of functions Journal of Theoretical Probability. 7: 73-118. DOI: 10.1007/BF02213361  0.315
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