M. Solodov
Optimization & Training · 1998–2014
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 5 citations into it
Whom M. Solodov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Tseng
- Andrzej S. Cichocki
- R. Tyrrell Rockafellar
- Jong-Shi Pang
- David E. Rumelhart
- Kevin J. Lang
- Geoffrey E. Hinton
- J. Moreau
Who trusts M. Solodov overall
- Heinz H. Bauschke
- Mark W. Schmidt
- Hong-Kun Xu
- Nicolas Le Roux
- Fenghui Wang
- Volkan Cevher
- Ahmed Khaled
- Poom Kumam
- Na Li
- Fumiaki Kohsaka
Papers from M. Solodov's perspective
Ordered by how strongly the researchers M. Solodov trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning internal representations by error propagation
- An Incremental Gradient(-Projection) Method with Momentum Term and Adaptive Stepsize Rule
- Neural networks for optimization and signal processing
- A time-delay neural network architecture for isolated word recognition
- Monotone Operators and the Proximal Point Algorithm
- Atomic Decomposition by Basis Pursuit
- Error bounds in mathematical programming
- Original Contribution: Optimal filtering algorithms for fast learning in feedforward neural networks
- Regression Shrinkage and Selection via the Lasso
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Forcing strong convergence of proximal point iterations in a Hilbert space (2000) — 407 citations
- Merit functions and error bounds for generalized variational inequalities (2003) — 65 citations
- Newton-Type Methods for Optimization and Variational Problems (2014) — 114 citations
- Incremental Gradient Algorithms with Stepsizes Bounded Away from Zero (1998)