Jonas Mockus
1974–1994
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Jonas Mockus trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jonas Mockus overall
- Arnold Neumaier
- Adam D. Bull
- Peter I. Frazier
- Kirthevasan Kandasamy
- Donald R. Jones
- M. Sasena
- Jasper Snoek
- Nando de Freitas
- Hao Wang
- Ziyun Wang
Papers from Jonas Mockus's perspective
Ordered by how strongly the researchers Jonas Mockus trusts endorse each paper. Same corpus, a different order for every researcher.
- The Bayesian approach to global optimization
- Sequential minimax search for a maximum
- An algorithm for finding the absolute extremum of a function
- The Nature of Statistical Learning Theory
- Regression Shrinkage and Selection via the Lasso
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- Ideal spatial adaptation by wavelet shrinkage
- High-dimensional graphs and variable selection with the Lasso
- Asymptotics for lasso-type estimators
- Sure independence screening for ultrahigh dimensional feature space
Their papers
- Application of Bayesian approach to numerical methods of global and stochastic optimization (1994)
- Bayesian approach to global optimization and application to multiobjective and constrained problems (1991)
- The Bayesian approach to global optimization (1989)
- On Bayesian Methods for Seeking the Extremum (1974)