Yonghong Tan
2009
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Who trusts Yonghong Tan overall
Papers from Yonghong Tan's perspective
Ordered by how strongly the researchers Yonghong Tan trusts endorse each paper. Same corpus, a different order for every researcher.
- TRUST REGION METHODS
- Reading Digits in Natural Images with Unsupervised Feature Learning
- Convex analysis and minimization algorithms
- Randomized Methods for Linear Constraints: Convergence Rates and Conditioning (Mathematics of Operations Research)
- The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
- Projected Barzilai-Borwein methods for large-scale box-constrained quadratic programming (Numerische Mathematik)
- Large Scale Online Learning
- Distributed delayed stochastic optimization
- Revisiting Distributed Synchronous SGD
- Problem Complexity and Method Efficiency in Optimization
Their papers
- A modified Prandtl–Ishlinskii modeling method for hysteresis (2009) — 50 citations