Konstantin Voevodski

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 Konstantin Voevodski trusts

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

  1. Eric R. Ziegel (in Artificial Intelligence)

Papers from Konstantin Voevodski's perspective

Ordered by how strongly the researchers Konstantin Voevodski 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. Random Forests
  4. Stochastic Approximation approach to Stochastic Programming
  5. Advances in Neural Information Processing Systems (NIPS)
  6. Monotonicity maintenance in information-theoretic machine learning algorithms
  7. Optimal Distributed Online Prediction Using Mini-Batches
  8. Statistical inference under order restrictions : the theory and application of isotonic regression
  9. Monotonic Networks
  10. Do we need hundreds of classifiers to solve real world classification problems?

Their papers