 | 2012 |
|---|
| 9 |       | Manfred K. Warmuth,
Dima Kuzmin:
Online variance minimization.
Machine Learning 87(1): 1-32 (2012) |
| 2010 |
|---|
| 8 | | Manfred K. Warmuth,
Dima Kuzmin:
Bayesian generalized probability calculus for density matrices.
Machine Learning 78(1-2): 63-101 (2010) |
| 2007 |
|---|
| 7 | | Dima Kuzmin,
Manfred K. Warmuth:
Online kernel PCA with entropic matrix updates.
ICML 2007: 465-472 |
| 6 | | Dima Kuzmin,
Manfred K. Warmuth:
Unlabeled Compression Schemes for Maximum Classes.
Journal of Machine Learning Research 8: 2047-2081 (2007) |
| 2006 |
|---|
| 5 | | Manfred K. Warmuth,
Dima Kuzmin:
Online Variance Minimization.
COLT 2006: 514-528 |
| 4 | | Manfred K. Warmuth,
Dima Kuzmin:
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension.
NIPS 2006: 1481-1488 |
| 3 | | Manfred K. Warmuth,
Dima Kuzmin:
A Bayesian Probability Calculus for Density Matrices.
UAI 2006 |
| 2005 |
|---|
| 2 | | Dima Kuzmin,
Manfred K. Warmuth:
Unlabeled Compression Schemes for Maximum Classes, .
COLT 2005: 591-605 |
| 1 | | Dima Kuzmin,
Manfred K. Warmuth:
Optimum Follow the Leader Algorithm.
COLT 2005: 684-686 |
Data released under the ODC-BY 1.0 license — See also our legal information page