Pages that link to "Item:Q4606521"

The following pages link to On the optimality of averaging in distributed statistical learning (Q4606521):

Displaying 36 items.

• Distributed testing and estimation under sparse high dimensional models (Q1650081) (← links)
• A distributed one-step estimator (Q1739027) (← links)
• Distributed linear regression by averaging (Q2039793) (← links)
• Distributed adaptive Huber regression (Q2076119) (← links)
• Distributed optimization and statistical learning for large-scale penalized expectile regression (Q2131987) (← links)
• Robust distributed estimation and variable selection for massive datasets via rank regression (Q2135513) (← links)
• Distributed kernel gradient descent algorithm for minimum error entropy principle (Q2175022) (← links)
• Adaptive distributed methods under communication constraints (Q2215741) (← links)
• Robust communication-efficient distributed composite quantile regression and variable selection for massive data (Q2242035) (← links)
• Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data (Q2242042) (← links)
• Distributed statistical estimation and rates of convergence in normal approximation (Q2283576) (← links)
• Averaging versus voting: a comparative study of strategies for distributed classification (Q2668577) (← links)
• Distributed function estimation: adaptation using minimal communication (Q2694726) (← links)
• (Q4558562) (← links)
• (Q4637042) (← links)
• WONDER: Weighted one-shot distributed ridge regression in high dimensions (Q4969115) (← links)
• Distributed Averaging Via Lifted Markov Chains (Q4976076) (← links)
• (Q4999010) (← links)
• (Q5054581) (← links)
• Communication-Efficient Distributed Linear Discriminant Analysis for Binary Classification (Q5089448) (← links)
• Communication-Efficient Distributed Eigenspace Estimation (Q5162627) (← links)
• A review of distributed statistical inference (Q5880109) (← links)
• Global debiased DC estimations for biased estimators via pro forma regression (Q6075574) (← links)
• Multivariate survival analysis in big data: A divide‐and‐combine approach (Q6079569) (← links)
• Model aggregation for doubly divided data with large size and large dimension (Q6104430) (← links)
• Robust distributed multicategory angle-based classification for massive data (Q6118393) (← links)
• A communication efficient distributed one-step estimation (Q6140157) (← links)
• Communication-efficient distributed estimation for high-dimensional large-scale linear regression (Q6159681) (← links)
• Communication-Efficient Accurate Statistical Estimation (Q6165287) (← links)
• Distributed statistical optimization for non-randomly stored big data with application to penalized learning (Q6172933) (← links)
• Distributed sequential estimation procedures (Q6490398) (← links)
• Distributed robust regression with correntropy losses and regularization kernel networks (Q6564882) (← links)
• Aggregated inference (Q6600359) (← links)
• Distributed subsampling for multiplicative regression (Q6606960) (← links)
• A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques (Q6620576) (← links)
• Distributed parameter estimation framework based on moment method (Q6654111) (← links)