Peng Sun

Management Science and Operations Research · with Mannor · 2004–2007

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 17 citations into it; #2,352 of 11,946 by trust here, #1,654 by citations
• Reinforcement Learning — 14 citations into it; #1,131 of 2,242 by trust here, #1,415 by citations
• Finance — 9 citations into it
• Economics and Econometrics — 8 citations into it
• Statistics and Probability — 8 citations into it; #5,571 of 12,932 by trust here, #5,857 by citations
• Artificial Intelligence — 7 citations into it; #17,145 of 35,345 by trust here, #23,731 by citations
• Control and Systems Engineering — 5 citations into it; #2,900 of 8,257 by trust here, #3,682 by citations

Whom Peng Sun trusts overall

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

1. Dimitris J. Bertsimas
2. Aharon Ben-Tal
3. Arkadi Nemirovski
4. Alexander Shapiro
5. R. Tyrrell Rockafellar
6. D. Farias
7. Malcolm J. A. Strens
8. Dimitri P. Bertsekas
9. Andrew Barto
10. Michael Kearns

Who trusts Peng Sun overall

1. Dimitris J. Bertsimas
2. Erick Delage
3. Shie Mannor
4. Vukosi Marivate
5. Philip Thomas
6. Tsuyoshi Ueno
7. Nathan Kallus
8. Martha White
9. Joel Goh
10. Melvyn Sim

Papers from Peng Sun's perspective

Ordered by how strongly the researchers Peng Sun trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adjustable robust solutions of uncertain linear programs (Mathematical programming)
2. On Constraint Sampling in the Linear Programming Approach to Approximate Dynamic Programming
3. Portfolio Selection
4. Optimization of conditional value-at risk
5. Uncertain convex programs: randomized solutions and confidence levels (Mathematical programming)
6. A Robust Optimization Approach to Inventory Theory (Operational Research)
7. Conditional Value-at-Risk for General Loss Distributions
8. Robust solutions of Linear Programming problems contaminated with uncertain data (Mathematical programming)
9. On Complexity of Stochastic Programming Problems
10. Robust discrete optimization and network flows (Mathematical programming)

Their papers

• Bias and variance in value function estimation (2004) — 88 citations
• Bias and Variance Approximation in Value Function Estimates (2007) — 211 citations
• A Robust Optimization Perspective on Stochastic Programming (2007) — 403 citations
• Risk Aversion in Inventory Management (2007) — 357 citations
• Biases and Variance in Value Function Estimates (2004) — 9 citations