Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: on the complexity of linear prediction : risk bounds , margin bounds , and regularization .
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
Fast and Robust Least Squares Estimation in Corrupted Linear Models
Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds
MUSIC, maximum likelihood, and Cramer-Rao bound
Prediction With Gaussian Processes: From Linear Regression To Linear Prediction And Beyond
Empirical Bernstein Bounds and Sample Variance Penalization
The rademacher complexity of linear transformation classes
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Training with Noise is Equivalent to Tikhonov Regularization
Online regularized learning with pairwise loss functions
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems
A Unifying Review of Linear Gaussian Models
Local Rademacher Complexities
On the Convergence Speed of MDL Predictions for Bernoulli Sequences
The Adaptive Lasso and Its Oracle Properties
SPECTRALLY-NORMALIZED MARGIN BOUNDS FOR NEURAL NETWORKS
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
learning structured prediction models : a large margin approach .
Prediction of time series by statistical learning: general losses and fast rates
Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse High-dimensional Linear Regression
Automatic Image Colorization via Multimodal Predictions
Multiple Causal Inference with Latent Confounding
emotion , plasticity , context , and regulation : perspectives from affective neuroscience .
Competitive on-Line Statistics
Filterable forms of Nocardia: a preferential site of infection in the mouse brain.