James J. P. Stewart
Optimization & Training · 1985–2012
A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 6 citations into it
- Physical and Theoretical Chemistry — 6 citations into it
- Atomic and Molecular Physics, and Optics — 5 citations into it; #990 of 7,135 by trust here, #4,284 by citations
Whom James J. P. Stewart trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert T. Downs
- Axel D. Becke
- C. G. Broyden
- Jorge Nocedal
- Stefan Grimme
- David F. Shanno
- Donald Goldfarb
- Markus J. Buehler
Who trusts James J. P. Stewart overall
- Abdo A. Elfiky
- R. Viana
- Stefan Grimme
- Min Zheng
- Jeremy R. Greenwood
- R. Ramakrishnan
- H. Kwak
- Jie Dong
- Christoph Bannwarth
- A. D. Silva
Papers from James J. P. Stewart's perspective
Ordered by how strongly the researchers James J. P. Stewart trusts endorse each paper. Same corpus, a different order for every researcher.
- The American Mineralogist crystal structure database
- Stochastic dual coordinate ascent methods for regularized loss
- RCV1: A New Benchmark Collection for Text Categorization Research
- Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
- On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
- SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
- Conditioning of Quasi-Newton Methods for Function Minimization
- Large-Scale Machine Learning with Stochastic Gradient Descent
Their papers
- Optimization of parameters for semiempirical methods V: Modification of NDDO approximations and application to 70 elements (2007) — 3,336 citations
- RM1: A reparameterization of AM1 for H, C, N, O, P, S, F, Cl, Br, and I (2006) — 619 citations
- Optimization of parameters for semiempirical methods VI: more modifications to the NDDO approximations and re-optimization of parameters (2012) — 1,802 citations
- Application of the PM6 method to modeling proteins (2009) — 299 citations
- Development and use of quantum mechanical molecular models. 76. AM1: a new general purpose quantum mechanical molecular model (1985)