Ken-ichiro Moridomi

Optimization & Training · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 5 citations into it

Whom Ken-ichiro Moridomi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Elad Hazan
2. Pradeep Ravikumar
3. Shai Shalev-Shwartz
4. Nati Srebro
5. J. Dattorro
6. Martin J. Wainwright
7. Yurii E. Nesterov
8. Ohad Shamir
9. Vladimir Koltchinskii

Papers from Ken-ichiro Moridomi's perspective

Ordered by how strongly the researchers Ken-ichiro Moridomi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Maximum-Margin Matrix Factorization
4. ImageNet classification with deep convolutional neural networks
5. Rank, Trace-Norm and Max-Norm
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Introduction to Online Convex Optimization

Their papers

• Online linear optimization with the log-determinant regularizer (2017) — 6 citations