Aswin Kannan
Optimization & Training · 2014
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 15 citations into it
- Artificial Intelligence — 7 citations into it
- Computational Mechanics — 7 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Management Science and Operations Research — 7 citations into it
- Mathematical Optimization — 6 citations into it
- Numerical Analysis — 6 citations into it
Whom Aswin Kannan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Saeed Ghadimi
- Anatoli B. Juditsky
- Arkadi Nemirovski
- Guanghui Lan
- Vivek Shripad Borkar
- David Ruppert
- Boris Polyak
- Harold J. Kushner
- Yurii E. Nesterov
- Alexander Shapiro
Who trusts Aswin Kannan overall
Papers from Aswin Kannan's perspective
Ordered by how strongly the researchers Aswin Kannan trusts endorse each paper. Same corpus, a different order for every researcher.
- A Stochastic Approximation Method
- Acceleration of stochastic approximation by averaging
- Stochastic Approximation approach to Stochastic Programming
- Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems
- Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms
- Stochastic Approximation and Recursive Algorithms and Applications
- Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization I: A Generic Algorithmic Framework
- On Complexity of Stochastic Programming Problems
- Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming
- Solving variational inequalities with Stochastic Mirror-Prox algorithm