Asymptotic theory of finite dimensional normed spaces
Asymptotic theory of finite dimensional normed spaces
Sphere packing numbers for subsets of the Boolean n-cube with bounded Vapnik-Chervonenkis dimension
Journal of Combinatorial Theory Series A
Scale-sensitive dimensions, uniform convergence, and learnability
Journal of the ACM (JACM)
A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems
A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems
Learning in Neural Networks: Theoretical Foundations
Learning in Neural Networks: Theoretical Foundations
Geometric Parameters of Kernel Machines
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Agnostic Learning Nonconvex Function Classes
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Entropy, Combinatorial Dimensions and Random Averages
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
The importance of convexity in learning with squared loss
IEEE Transactions on Information Theory
Rademacher averages and phase transitions in Glivenko-Cantelli classes
IEEE Transactions on Information Theory
Improving the sample complexity using global data
IEEE Transactions on Information Theory
Generalization Error Bounds for Threshold Decision Lists
The Journal of Machine Learning Research
Learning with non-positive kernels
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Nonparametric Quantile Estimation
The Journal of Machine Learning Research
Aspects of discrete mathematics and probability in the theory of machine learning
Discrete Applied Mathematics
Generalization analysis of listwise learning-to-rank algorithms
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Oracle inequalities for support vector machines that are based on random entropy numbers
Journal of Complexity
Curse of Dimensionality in Pivot Based Indexes
SISAP '09 Proceedings of the 2009 Second International Workshop on Similarity Search and Applications
Rademacher chaos complexities for learning the kernel problem
Neural Computation
PAC learnability of a concept class under non-atomic measures: a problem by Vidyasagar
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Proceedings of the Fourth International Conference on SImilarity Search and APplications
The Sample Complexity of Dictionary Learning
The Journal of Machine Learning Research
On ranking and generalization bounds
The Journal of Machine Learning Research
PAC learnability under non-atomic measures: A problem by Vidyasagar
Theoretical Computer Science
Learning with boundary conditions
Neural Computation
Risk bounds of learning processes for Lévy processes
The Journal of Machine Learning Research
Universal learning using free multivariate splines
Neurocomputing
Approximation and Estimation Bounds for Subsets of Reproducing Kernel Kreĭn Spaces
Neural Processing Letters
| Hi-index | 0.00 |