Dmitry Gavinsky
2002
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Whom Dmitry Gavinsky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert E. Schapire
- Leslie G. Valiant
- Yoav Freund
- Anselm Blumer
- Andrzej Ehrenfeucht
- Michael Kearns
- Avrim Blum
- David Haussler
- Jeffrey C. Jackson
- Manfred K. Warmuth
Who trusts Dmitry Gavinsky overall
Papers from Dmitry Gavinsky's perspective
Ordered by how strongly the researchers Dmitry Gavinsky trusts endorse each paper. Same corpus, a different order for every researcher.
- The Strength of Weak Learnability
- A theory of the learnable
- An improved boosting algorithm and its implications on learning complexity
- A theory of the learnable
- Learnability and the Vapnik-Chervonenkis dimension
- Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
- Weakly learning DNF and characterizing statistical query learning using Fourier analysis
- Toward efficient agnostic learning
- On the learnability of Boolean formulae
- A Probabilistic Theory of Pattern Recognition
Their papers
- Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning (2002) — 45 citations