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Jarvis Haupt

Identifiers

  • name variant Jarvis Haupt 0.60 · backfill

Papers (23)

  1. TensorMap: Lidar-Based Topological Mapping and Localization via Tensor Decompositions eess.IV · 2019 · author #3
  2. Target-based Hyperspectral Demixing via Generalized Robust PCA cs.CV · 2019 · author #3
  3. A Dictionary Based Generalization of Robust PCA cs.LG · 2019 · author #3
  4. On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond cs.LG · 2018 · author #4
  5. Near Optimal Sketching of Low-Rank Tensor Regression cs.LG · 2017 · author #1
  6. Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation stat.ML · 2017 · author #2
  7. Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring cs.IT · 2017 · author #5
  8. On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions stat.ML · 2017 · author #4
  9. Noisy Tensor Completion for Tensors with a Sparse Canonical Polyadic Factor stat.ML · 2017 · author #3
  10. Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization cs.LG · 2016 · author #4
  11. Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices cs.IT · 2016 · author #2
  12. On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About Its Nonsmooth Loss Function cs.LG · 2016 · author #3
  13. Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction cs.LG · 2016 · author #4
  14. A Compressed Sensing Based Decomposition of Electrodermal Activity Signals stat.ML · 2016 · author #5
  15. Testing a Novel Self-Assembling Data Paradigm in the Context of IACT Data astro-ph.IM · 2015 · author #6
  16. On Convolutional Approximations to Linear Dimensionality Reduction Operators for Large Scale Data Processing stat.ML · 2015 · author #2
  17. Noisy Matrix Completion under Sparse Factor Models stat.ML · 2014 · author #3
  18. Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling cs.IT · 2014 · author #2
  19. Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach stat.ML · 2013 · author #3
  20. On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements cs.IT · 2013 · author #2
  21. Level Set Estimation from Compressive Measurements using Box Constrained Total Variation Regularization cs.CV · 2012 · author #2
  22. Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries stat.ML · 2011 · author #2
  23. Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation math.ST · 2010 · author #1

Mentions

  • 1210.2474 #2 · backfill · confidence 0.70 Jarvis Haupt
  • 1111.6923 #2 · backfill · confidence 0.70 Jarvis Haupt
  • 1001.5311 #1 · backfill · confidence 0.70 Jarvis Haupt

Frequent Coauthors