Vignesh Subramanian

2020

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

Whom Vignesh Subramanian trusts overall

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

  1. Peter L. Bartlett

Papers from Vignesh Subramanian's perspective

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

  1. Understanding deep learning requires rethinking generalization
  2. Information Theory: 1948-1998 - Guest Editorial
  3. Spectrally-normalized margin bounds for neural networks
  4. A Probabilistic Theory of Pattern Recognition
  5. A training algorithm for optimal margin classifiers
  6. The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network
  7. In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
  8. The Implicit Bias of Gradient Descent on Separable Data
  9. Characterizing Implicit Bias in Terms of Optimization Geometry
  10. Statistical behavior and consistency of classification methods based on convex risk minimization

Their papers