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Shusen Wang

Identifiers

  • name variant Shusen Wang 0.60 · backfill

Papers (20)

  1. Do Subsampled Newton Methods Work for High-Dimensional Data? stat.ML · 2019 · author #2
  2. OverSketch: Approximate Matrix Multiplication for the Cloud cs.DC · 2018 · author #2
  3. Alchemist: An Apache Spark <=> MPI Interface cs.DC · 2018 · author #3
  4. Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist cs.DC · 2018 · author #3
  5. Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap stat.ML · 2018 · author #2
  6. Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm cs.LG · 2017 · author #2
  7. GIANT: Globally Improved Approximate Newton Method for Distributed Optimization cs.LG · 2017 · author #1
  8. A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication stat.ML · 2017 · author #2
  9. Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds cs.LG · 2017 · author #1
  10. Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging stat.ML · 2017 · author #1
  11. Improved Analyses of the Randomized Power Method and Block Lanczos Method cs.NA · 2015 · author #1
  12. A Practical Guide to Randomized Matrix Computations with MATLAB Implementations cs.MS · 2015 · author #1
  13. Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition cs.LG · 2015 · author #1
  14. Adjusting Leverage Scores by Row Weighting: A Practical Approach to Coherent Matrix Completion cs.LG · 2014 · author #1
  15. SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions cs.LG · 2014 · author #1
  16. Efficient Algorithms and Error Analysis for the Modified Nystrom Method cs.LG · 2014 · author #1
  17. Sharpened Error Bounds for Random Sampling Based $\ell_2$ Regression cs.LG · 2014 · author #1
  18. Improving CUR Matrix Decomposition and the Nystr\"{o}m Approximation via Adaptive Sampling cs.LG · 2013 · author #1
  19. A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound cs.LG · 2012 · author #1
  20. EP-GIG Priors and Applications in Bayesian Sparse Learning stat.ML · 2012 · author #2

Mentions

  • 1303.4207 #1 · backfill · confidence 0.70 Shusen Wang
  • 1210.1461 #1 · backfill · confidence 0.70 Shusen Wang
  • 1204.4243 #2 · backfill · confidence 0.70 Shusen Wang

Frequent Coauthors