Debdas Ghosh
Statistics and Probability · 2017
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 5 citations into it
Whom Debdas Ghosh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Debdas Ghosh's perspective
Ordered by how strongly the researchers Debdas Ghosh trusts endorse each paper. Same corpus, a different order for every researcher.
- Stochastic programming
- The Karush-Kuhn-Tucker optimality conditions in an optimization problem with interval-valued objective function (European Journal of Operational Research)
- Introduction to Stochastic Programming
- Some developments in general variational inequalities (Applied Mathematics and Computation)
- Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
- TRUST REGION METHODS
- Reading Digits in Natural Images with Unsupervised Feature Learning
- Convex analysis and minimization algorithms
- Randomized Methods for Linear Constraints: Convergence Rates and Conditioning (Mathematics of Operations Research)
- The Conjugate Gradient Method and Trust Regions in Large Scale Optimization