Tito Homem-de-Mello

Management Science and Operations Research · 2002–2014

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 46 citations into it; #5,491 of 11,946 by trust here, #8,469 by citations
• Statistics and Probability — 25 citations into it
• Artificial Intelligence — 18 citations into it
• Control and Systems Engineering — 15 citations into it
• Ocean Engineering — 11 citations into it
• Optimization & Training — 11 citations into it
• Computational Theory and Mathematics — 9 citations into it; #6,019 of 12,182 by trust here, #8,756 by citations
• Finance — 9 citations into it

Whom Tito Homem-de-Mello trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alexander Shapiro
2. Guanghui Lan
3. Arkadi Nemirovski
4. Yurii E. Nesterov
5. Dimitri P. Bertsekas
6. Darinka Dentcheva †
7. Christiane Lemieux
8. Holger Heitsch
9. Anatoli B. Juditsky
10. Michael L. Stein

Who trusts Tito Homem-de-Mello overall

1. Guanghui Lan
2. Karmel S. Shehadeh
3. Ning Qi
4. Alexander Shapiro
5. Emily L. Tucker
6. Saeed Ghadimi
7. Pierre Pinson
8. Arkadi Nemirovski
9. Hamed Rahimian
10. Fei Wu

Papers from Tito Homem-de-Mello's perspective

Ordered by how strongly the researchers Tito Homem-de-Mello trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Stochastic Approximation Method
2. Acceleration of stochastic approximation by averaging
3. Stochastic Approximation approach to Stochastic Programming
4. Random number generation and Quasi-Monte Carlo methods
5. The Sample Average Approximation Method Applied to Stochastic Routing Problems: A Computational Study (Computational optimization and applications)
6. Monte Carlo Sampling Methods
7. The empirical behavior of sampling methods for stochastic programming (Annals of Operations Research)
8. A Sample Approximation Approach for Optimization with Probabilistic Constraints (SIAM Journal on Optimization)
9. Convex Approximations of Chance Constrained Programs (SIAM Journal on Optimization)
10. Primal-dual subgradient methods for convex problems

Their papers

• Monte Carlo sampling-based methods for stochastic optimization (2014) — 327 citations
• Optimal Path Problems with Second-Order Stochastic Dominance Constraints (2012) — 64 citations
• Sampling strategies and stopping criteria for stochastic dual dynamic programming: a case study in long-term hydrothermal scheduling (2011) — 163 citations
• The Sample Average Approximation Method for Stochastic Discrete Optimization (2002) — 2,003 citations