Andreas Neubauer

Mathematical Physics · 1996–2016

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

Whom Andreas Neubauer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yurii E. Nesterov
  2. Amir Beck
  3. Heinz W. Engl
  4. Barbara Kaltenbacher
  5. Marc Teboulle

Who trusts Andreas Neubauer overall

  1. Frank Bauer
  2. Andrea Caponnetto
  3. Ye Zhang
  4. Robert J. D. Spurr
  5. Andrew M. Stuart
  6. Barbara Kaltenbacher
  7. Martin Burger
  8. Bernd Hofmann
  9. Ronny Ramlau
  10. Mark A. Lukas

Papers from Andreas Neubauer's perspective

Ordered by how strongly the researchers Andreas Neubauer trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A method for solving the convex programming problem with convergence rate O(1/k^2)
  2. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems (IEEE Transactions on Image Processing)
  3. An algorithm for quadratic programming
  4. Mirror descent and nonlinear projected subgradient methods for convex optimization
  5. Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
  6. Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
  7. A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization
  8. Iteration complexity of feasible descent methods for convex optimization
  9. Error bounds and convergence analysis of feasible descent methods: a general approach
  10. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

Their papers