Co-occurring keywords · papers mentioning both
Papers
Adaptive Lasso and group-Lasso for functional Poisson regression
JMLR 2016
Entropy-Based Concentration Inequalities for Dependent Variables
ICML 2015
Learning the dependence structure of rare events: a non-asymptotic study
COLT 2015
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior
JMLR 2015
Sample Complexity Bounds for Iterative Stochastic Policy Optimization
NeurIPS 2015
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning
COLT 2014
Concentration in unbounded metric spaces and algorithmic stability
ICML 2014
Exponential Concentration of a Density Functional Estimator
NeurIPS 2014
Generalized Exponential Concentration Inequality for Renyi Divergence Estimation
ICML 2014
How hard is my MDP?" The distribution-norm to the rescue"
NeurIPS 2014
Learning without concentration
COLT 2014
Localized Complexities for Transductive Learning
COLT 2014
PAC-Bayes-Empirical-Bernstein Inequality
NeurIPS 2013
Exponential Concentration for Mutual Information Estimation with Application to Forests
NeurIPS 2012
Random Design Analysis of Ridge Regression
COLT 2012
Collaborative Filtering via Rating Concentration
AISTATS 2010
Empirical Bernstein Boosting
AISTATS 2010
On Learning with Integral Operators
JMLR 2010
Permutation Complexity Bound on Out-Sample Error
NeurIPS 2010
Risk Bounds for Levy Processes in the PAC-Learning Framework
AISTATS 2010
Performance analysis for L\_2 kernel classification
NeurIPS 2008
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
NeurIPS 2008
Inferring Network Structure from Co-Occurrences
NeurIPS 2006
Concentration Inequalities for the Missing Mass and for Histogram Rule Error
JMLR 2003