Burak Büke
Artificial Intelligence · 2013
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #16,561 of 35,345 by trust here, #26,682 by citations
- Computational Mechanics — 12 citations into it; #4,371 of 10,001 by trust here, #6,877 by citations
- Optimization & Training — 9 citations into it
Whom Burak Büke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shai Shalev-Shwartz
- Yurii E. Nesterov
- Paul Tseng
- Peter Richtárik
- Yingying Li
- Mingyi Hong
- Martin Takác
- Tong Zhang
Who trusts Burak Büke overall
Papers from Burak Büke's perspective
Ordered by how strongly the researchers Burak Büke trusts endorse each paper. Same corpus, a different order for every researcher.
- Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems
- Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function
- Stochastic methods for l1 regularized loss minimization
- Parallel Coordinate Descent for L1-Regularized Loss Minimization
- Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
- On the linear convergence of the alternating direction method of multipliers
- Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization
- Regression Shrinkage and Selection via the Lasso
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Separable approximations and decomposition methods for the augmented Lagrangian (2013) — 42 citations