Nicolas Vayatis

Artificial Intelligence · with Juditsky · 2005

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Vayatis trusts overall

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

  1. Jerome H. Friedman

Papers from Nicolas Vayatis's perspective

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

  1. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  2. Mirror descent and nonlinear projected subgradient methods for convex optimization
  3. Statistical behavior and consistency of classification methods based on convex risk minimization
  4. Optimal aggregation of classifiers in statistical learning
  5. Problem Complexity and Method Efficiency in Optimization
  6. On the generalization ability of on-line learning algorithms
  7. Boosting the margin: A new explanation for the effectiveness of voting methods
  8. Convexity, Classification, and Risk Bounds
  9. Solving large scale linear prediction problems using stochastic gradient descent algorithms
  10. Regression Shrinkage and Selection via the Lasso

Their papers