The following pages link to (Q5405231):
Displaying 37 items.
- (Q5214265) (← links)
- Information-Based Optimal Subdata Selection for Big Data Linear Regression (Q5229921) (← links)
- Fast Randomized Algorithms for t-Product Based Tensor Operations and Decompositions with Applications to Imaging Data (Q5236621) (← links)
- Randomized Approximation of the Gram Matrix: Exact Computation and Probabilistic Bounds (Q5251753) (← links)
- Importance sampling in signal processing applications (Q5358731) (← links)
- Conditioning of Leverage Scores and Computation by QR Decomposition (Q5502147) (← links)
- Robust CUR Decomposition: Theory and Imaging Applications (Q5860372) (← links)
- Numerical Considerations and a new implementation for invariant coordinate selection (Q5885834) (← links)
- Simpler is better: a comparative study of randomized pivoting algorithms for CUR and interpolative decompositions (Q6052452) (← links)
- Optimal subsampling for multiplicative regression with massive data (Q6068048) (← links)
- A literature survey of matrix methods for data science (Q6068265) (← links)
- Subsampling spectral clustering for stochastic block models in large-scale networks (Q6071693) (← links)
- Randomized Quasi-Optimal Local Approximation Spaces in Time (Q6097875) (← links)
- Training very large scale nonlinear SVMs using alternating direction method of multipliers coupled with the hierarchically semi-separable kernel approximations (Q6114955) (← links)
- Generalized linear models for massive data via doubly-sketching (Q6117016) (← links)
- A block-randomized stochastic method with importance sampling for CP tensor decomposition (Q6126539) (← links)
- Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data (Q6138630) (← links)
- Subsampling in longitudinal models (Q6164867) (← links)
- Randomized Nyström Preconditioning (Q6166051) (← links)
- Optimal subsampling for functional quantile regression (Q6201371) (← links)
- Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition (Q6202283) (← links)
- A note on centering in subsample selection for linear regression (Q6544023) (← links)
- Robust and efficient subsampling algorithms for massive data logistic regression (Q6579821) (← links)
- Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data (Q6581668) (← links)
- Bounded-memory adjusted scores estimation in generalized linear models with large data sets (Q6581674) (← links)
- Distributed optimal subsampling for quantile regression with massive data (Q6592801) (← links)
- A subspace constrained randomized Kaczmarz method for structure or external knowledge exploitation (Q6592907) (← links)
- Optimal Poisson subsampling for softmax regression (Q6594939) (← links)
- \texttt{pylspack}: parallel algorithms and data structures for sketching, column subset selection, regression, and leverage scores (Q6599985) (← links)
- Leveraging for big data regression (Q6604442) (← links)
- Distributed subsampling for multiplicative regression (Q6606960) (← links)
- On the inversion-free Newton's method and its applications (Q6612368) (← links)
- A stochastic perturbation analysis of the QR decomposition and its applications (Q6624472) (← links)
- Efficient bounds and estimates for canonical angles in randomized subspace approximations (Q6641761) (← links)
- Core-elements for large-scale least squares estimation (Q6643225) (← links)
- Tracking tensor ring decompositions of streaming tensors (Q6659771) (← links)
- Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models (Q6662587) (← links)
