Pages that link to "Item:Q2921678"
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The following pages link to Subgradient and sampling algorithms for \(\ell_1\) regression (Q2921678):
Displaying 16 items.
- Efficient subspace approximation algorithms (Q664540) (← links)
- How to get close to the median shape (Q870425) (← links)
- Spectral estimation from simulations via sketching (Q2133499) (← links)
- Adaptive iterative Hessian sketch via \(A\)-optimal subsampling (Q2195850) (← links)
- Learning big (image) data via coresets for dictionaries (Q2513397) (← links)
- The fast Cauchy transform and faster robust linear regression (Q2812147) (← links)
- Weighted SGD for <i>ℓ<sub>p</sub></i> Regression with Randomized Preconditioning (Q4575618) (← links)
- Quantile regression for large-scale data via sparse exponential transform method (Q4613926) (← links)
- Non-Negative Sparse Regression and Column Subset Selection with L1 Error (Q4993270) (← links)
- A Greedy Algorithm for Subspace Approximation Problem (Q5116494) (← links)
- Analysis of regularized Nyström subsampling for regression functions of low smoothness (Q5236751) (← links)
- Subsampled Hessian Newton Methods for Supervised Learning (Q5380307) (← links)
- (Q5743480) (← links)
- Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm (Q5962728) (← links)
- Optimal subsampling for large‐sample quantile regression with massive data (Q6059454) (← links)
- Solution of the EEG inverse problem by random dipole sampling (Q6136776) (← links)