Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: an overview of statistical learning theory .
Learnability and the Vapnik-Chervonenkis dimension
Support vector machines: Theory and applications
On Bias , Variance , 0 / 1-Loss , and the Curse-of-Dimensionality
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Asymptotic Properties of the Fisher Kernel
Statistical learning and language acquisition
Local Privacy and Statistical Minimax Rates
Empirical Bernstein Bounds and Sample Variance Penalization
Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples
Robust and Proper Learning for Mixtures of Gaussians via Systems of Polynomial Inequalities
Detecting fake websites: the contribution of statistical learning theory
The rademacher complexity of linear transformation classes
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
The Adaptive Lasso and Its Oracle Properties
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA
A Bayesian Perspective of Statistical Machine Learning for Big Data
Discriminative learning for differing training and test distributions
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
On the analysis of the Zeus botnet crimeware toolkit
Subjective well-being amongst migrant children in China: unravelling the roles of social support and identity integration
Modeling the global freight transportation system: A multi-level modeling perspective
A new polynomial-time algorithm for linear programming
What Can the Samoan "Fa'afafine" Teach Us about the Western Concept of Gender Identity Disorder in Childhood?