Alfredo Noel Iusem
Optimization & Training · 1997–2019
A researcher in the Science corpus: 16 papers; trusts 18 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 27 citations into it; #2,186 of 2,601 by trust here, #2,162 by citations
- Computational Theory and Mathematics — 22 citations into it; #996 of 12,182 by trust here, #1,254 by citations
- Numerical Analysis — 20 citations into it; #334 of 3,586 by trust here, #248 by citations
- Computational Mechanics — 12 citations into it; #1,451 of 10,001 by trust here, #2,361 by citations
- Applied Mathematics — 9 citations into it; #6,458 of 7,620 by trust here, #7,414 by citations
- Artificial Intelligence — 8 citations into it; #27,186 of 35,345 by trust here, #26,682 by citations
- Mathematical Optimization — 8 citations into it; #157 of 422 by trust here, #205 by citations
- Geometry and Topology — 6 citations into it; #4,332 of 7,422 by trust here, #2,207 by citations
Whom Alfredo Noel Iusem trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Tyrrell Rockafellar
- Dan Butnariu
- Igor V. Konnov
- J. Moreau
- Regina Sandra Burachik
- Arkadi Nemirovski
- Yurii E. Nesterov
- Francisco Facchinei
- Abdellatif Moudafi
- Anatoli B. Juditsky
Who trusts Alfredo Noel Iusem overall
- Simeon Reich
- Aviv Gibali
- Yura Malitsky
- Yair Censor
- Dan Butnariu
- Yonghong Yao
- Mário A. T. Figueiredo
- Christian Kanzow
- Yekini Shehu
- Dang Van Hieu
Papers from Alfredo Noel Iusem's perspective
Ordered by how strongly the researchers Alfredo Noel Iusem trusts endorse each paper. Same corpus, a different order for every researcher.
- Monotone Operators and the Proximal Point Algorithm
- Primal-dual subgradient methods for convex problems
- Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems
- Convex analysis in general vector spaces
- A Stochastic Approximation Method
- Proximité et dualité dans un espace hilbertien
- Multiplier and gradient methods
- Robust Stochastic Approximation Approach to Stochastic Programming
- Regression Shrinkage and Selection via the Lasso
- Stochastic Approximation approach to Stochastic Programming
Their papers
- Extragradient Method with Variance Reduction for Stochastic Variational Inequalities (2017) — 184 citations
- Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization (2000) — 391 citations
- Set-valued mappings and enlargements of monotone operators (2008) — 308 citations
- Extension of Subgradient Techniques for Nonsmooth Optimization in Banach Spaces (2001) — 72 citations
- On the convergence properties of the projected gradient method for convex optimization (2003) — 127 citations
- New existence results for equilibrium problems (2003) — 176 citations
- Variance-Based Extragradient Methods with Line Search for Stochastic Variational Inequalities (2019) — 66 citations
- A Strongly Convergent Direct Method for Monotone Variational Inequalities in Hilbert Spaces (2009) — 74 citations
- On the proximal point method for equilibrium problems in Hilbert spaces (2010) — 128 citations
- On the Maximal Monotonicity of Diagonal Subdifferential Operators (2010) — 46 citations
- Concepts and techniques of optimization on the sphere (2014) — 52 citations
- Inexact Proximal Point Methods for Equilibrium Problems in Banach Spaces (2007) — 58 citations
- On Uniform Convexity, Total Convexity and Convergence of the Proximal Point and Outer Bregman Projection Algorithms in Banach Spaces (2003) — 87 citations
- INEXACT VERSIONS OF PROXIMAL POINT AND AUGMENTED LAGRANGIAN ALGORITHMS IN BANACH SPACES (2001) — 70 citations
- Total Convexity for Powers of the Norm in Uniformly Convex Banach Spaces (2000) — 68 citations
- A variant of korpelevich’s method for variational inequalities with a new search strategy (1997)