Yuhong Dai
Optimization & Training · 2001–2016
A researcher in the Science corpus: 12 papers; trusts 19 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 25 citations into it; #1,328 of 2,601 by trust here, #1,661 by citations
- Computational Mechanics — 14 citations into it; #1,831 of 10,001 by trust here, #3,029 by citations
- Numerical Analysis — 14 citations into it; #185 of 3,586 by trust here, #248 by citations
- Computational Theory and Mathematics — 12 citations into it; #1,299 of 12,182 by trust here, #1,890 by citations
- Artificial Intelligence — 10 citations into it; #5,891 of 35,345 by trust here, #17,776 by citations
- Numerical Methods & Scientific Computing — 10 citations into it
- Mathematical Optimization — 9 citations into it
Whom Yuhong Dai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roger Fletcher
- William W. Hager
- C. G. Broyden
- David F. Shanno
- Donald Goldfarb
- M. Powell
- Hongchao Zhang
- L. Liao
- Jonathan Michael Borwein
- Tong Zhang
Who trusts Yuhong Dai overall
- G. Frassoldati
- William W. Hager
- Hongchao Zhang
- Saman Babaie-Kafaki
- Roger Fletcher
- Conghui Tan
- Stephen J. Wright
- Luca Zanni
- Mário A. T. Figueiredo
- Ewout van den Berg
Papers from Yuhong Dai's perspective
Ordered by how strongly the researchers Yuhong Dai trusts endorse each paper. Same corpus, a different order for every researcher.
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Acceleration of stochastic approximation by averaging
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Two-Point Step Size Gradient Methods
- Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
- On the Barzilai-Borwein Method
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Benchmarking optimization software with performance profiles
Their papers
- Barzilai-Borwein Step Size for Stochastic Gradient Descent (2016) — 203 citations
- On Restart Procedures for the Conjugate Gradient Method (2004) — 622 citations
- The cyclic Barzilai-–Borwein method for unconstrained optimization (2006) — 216 citations
- Convergence Properties of the BFGS Algoritm (2002) — 317 citations
- R-linear convergence of the Barzilai and Borwein gradient method (2002) — 339 citations
- Alternate minimization gradient method (2003) — 125 citations
- New Conjugacy Conditions and Related Nonlinear Conjugate Gradient Methods (2001) — 471 citations
- On the Nonmonotone Line Search (2002) — 198 citations
- Analysis of monotone gradient methods (2005) — 67 citations
- A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search (2013) — 321 citations
- Projected Barzilai-Borwein methods for large-scale box-constrained quadratic programming (2005) — 379 citations
- Conjugate Gradient Methods with Armijo-type Line Searches (2002) — 49 citations