Alexander Van Esbroeck

Artificial Intelligence · 2015

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

Subfields

Whom Alexander Van Esbroeck trusts

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

  1. Eric R. Ziegel (in Artificial Intelligence)

Papers from Alexander Van Esbroeck's perspective

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

  1. The Elements of Statistical Learning
  2. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  3. Advances in Neural Information Processing Systems (NIPS)
  4. Monotonicity maintenance in information-theoretic machine learning algorithms
  5. Stochastic Approximation approach to Stochastic Programming
  6. Optimal Distributed Online Prediction Using Mini-Batches
  7. Random Forests
  8. Monotonic Networks
  9. Statistical inference under order restrictions : the theory and application of isotonic regression
  10. Do we need hundreds of classifiers to solve real world classification problems?

Their papers