Co-occurring keywords · papers mentioning both
Papers
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model
JMLR 2021
Correlated bandits or: How to minimize mean-squared error online
ICML 2019
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
NeurIPS 2017
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation
NeurIPS 2013
Statistical Analysis of Semi-Supervised Regression
NeurIPS 2007
Some Theory for Generalized Boosting Algorithms
JMLR 2006