Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction
The bayesian lasso
Bayesian Model Averaging for Linear Regression Models
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
The Trimmed Lasso: Sparsity and Robustness
Generalized Stability Approach for Regularized Graphical Models
Variational learning of inducing variables in sparse Gaussian processes
Distributed Sparse Linear Regression
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
Coresets for Scalable Bayesian Logistic Regression
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction
Regularization for Deep Learning: A Taxonomy
A Survey on Bayesian Nonparametric Learning
Bayesian regularization for normal mixture estimation and model-based clustering
Annealed Sparsity via Adaptive and Dynamic Shrinking
Multi-Target Shrinkage Estimation for Covariance Matrices
Gaussian Processes for Regression
multivariate bayesian variable selection and prediction .
Sparse Gaussian Processes for Multi-task Learning
Posterior regularization for structured latent variable models
Sparse Online Learning via Truncated Gradient
Empirical Bayes Gibbs sampling
A Compact Loop-Slot Mode Combination Antenna for Ultra-Thin Tablet Computer With Metallic Bottom Cover
Personalized in-store e-commerce with the promopad: an augmented reality shopping assistant
Dialectical models in artificial intelligence and law
A quantitative approach for teaching parallel computing