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ORCIDVladimir Koltchinskii
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2010 – 2019
- 2015
[j8]Vladimir Koltchinskii, Dong Xia:
Optimal estimation of low rank density matrices. J. Mach. Learn. Res. 16: 1757-1792 (2015)- 2013
- [c12]Vladimir Koltchinskii:
Sharp Oracle Inequalities in Low Rank Estimation. Empirical Inference 2013: 217-230 - 2010
- [j7]Vladimir Koltchinskii:
Rademacher Complexities and Bounding the Excess Risk in Active Learning. J. Mach. Learn. Res. 11: 2457-2485 (2010) - [c11]Vladimir Koltchinskii, Stas Minsker:
Sparse Recovery in Convex Hulls of Infinite Dictionaries. COLT 2010: 420-432
2000 – 2009
- 2008
- [c10]Vladimir Koltchinskii, Ming Yuan:
Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits. COLT 2008: 229-238 - 2006
- [j6]Manel Martínez-Ramón, Vladimir Koltchinskii, Gregory L. Heileman, Stefan Posse:
fMRI pattern classification using neuroanatomically constrained boosting. NeuroImage 31(3): 1129-1141 (2006) - 2005
- [c9]Vladimir Koltchinskii, Olexandra Beznosova:
Exponential Convergence Rates in Classification. COLT 2005: 295-307 - [c8]Fernando Lozano, Vladimir Koltchinskii:
Self bounding genetic algorithms for machine learning. ICMLA 2005 - 2004
- [c7]Vladimir Koltchinskii, Manel Martínez-Ramón, Stefan Posse:
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging. NIPS 2004: 705-712 - 2003
- [c6]Vladimir Koltchinskii, Dmitry Panchenko, Savina Andonova:
Generalization Bounds for Voting Classifiers Based on Sparsity and Clustering. COLT 2003: 492-505 - [c5]Vladimir Koltchinskii:
Entropy Bounds for Restricted Convex Hulls. COLT 2003: 741-742 - 2002
- [c4]Olivier Bousquet, Vladimir Koltchinskii, Dmitriy Panchenko:
Some Local Measures of Complexity of Convex Hulls and Generalization Bounds. COLT 2002: 59-73 - 2001
- [j5]Vladimir Koltchinskii, Chaouki T. Abdallah
, Marco Ariola, Peter Dorato:
Statistical learning control of uncertain systems: theory and algorithms. Appl. Math. Comput. 120(1-3): 31-43 (2001) - [j4]Chaouki T. Abdallah, Marco Ariola, Vladimir Koltchinskii:
Statistical-learning control of multiple-delay systems with application to ATM networks. Kybernetika 37(3): 355-365 (2001) - [j3]Vladimir Koltchinskii:
Rademacher penalties and structural risk minimization. IEEE Trans. Inf. Theory 47(5): 1902-1914 (2001) - [j2]Sam Efromovich, Vladimir Koltchinskii:
On inverse problems with unknown operators. IEEE Trans. Inf. Theory 47(7): 2876-2894 (2001) - [c3]Vladimir Koltchinskii, Dmitriy Panchenko, Fernando Lozano:
Further Explanation of the Effectiveness of Voting Methods: The Game between Margins and Weights. COLT/EuroCOLT 2001: 241-255 - 2000
- [j1]Vladimir Koltchinskii, Chaouki T. Abdallah, Marco Ariola, Peter Dorato, Dmitry Panchenko:
Improved sample complexity estimates for statistical learning control of uncertain systems. IEEE Trans. Autom. Control. 45(12): 2383-2388 (2000) - [c2]Vladimir Koltchinskii, Dmitriy Panchenko, Fernando Lozano:
Some New Bounds on the Generalization Error of Combined Classifiers. NIPS 2000: 245-251
1990 – 1999
- 1998
- [c1]Chaouki T. Abdallah, Marco Ariola, Peter Dorato, Vladimir Koltchinskii:
Quantified inequalities and robust control. Robustness in Identification and Control 1998: 373-390
Coauthor Index
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