Kellie J. MacPhee

2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Kellie J. MacPhee trusts overall

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

1. Bastian Goldlücke
2. Alon Brutzkus

Who trusts Kellie J. MacPhee overall

1. Damek Davis

Papers from Kellie J. MacPhee's perspective

Ordered by how strongly the researchers Kellie J. MacPhee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Guaranteed Rank Minimization via Singular Value Projection (Neural Information Processing Systems)
2. Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
3. A Geometric Analysis of Phase Retrieval (International Symposium on Information Theory)
4. Error Bounds, Quadratic Growth, and Linear Convergence of Proximal Methods
5. Variational Analysis
6. No bad local minima: Data independent training error guarantees for multilayer neural networks
7. Understanding deep learning requires rethinking generalization
8. Deep Learning without Poor Local Minima
9. Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition
10. Matrix Completion has No Spurious Local Minimum

Their papers

• Subgradient Methods for Sharp Weakly Convex Functions (2018) — 140 citations