Sara Shashaani

Orcid: 0000-0001-8515-5877

According to our database1, Sara Shashaani authored at least 18 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms.
CoRR, 2024

2023
SimOpt: A Testbed for Simulation-Optimization Experiments.
INFORMS J. Comput., 2023

Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms.
INFORMS J. Comput., 2023

Adaptive Ranking and Selection Based Genetic Algorithms for Data-Driven Problems.
Proceedings of the Winter Simulation Conference, 2023

Dynamic Stratification and Post-Stratified Adaptive Sampling for Simulation Optimization.
Proceedings of the Winter Simulation Conference, 2023

Towards Greener Stochastic Derivative-Free Optimization with Trust Regions and Adaptive Sampling.
Proceedings of the Winter Simulation Conference, 2023

Stochastic Constraints: How Feasible Is Feasible?
Proceedings of the Winter Simulation Conference, 2023

2022
Robust Simulation Optimization with Stratification.
Proceedings of the Winter Simulation Conference, 2022

Monte Carlo Based Machine Learning.
Proceedings of the Operations Research Proceedings 2022: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), 2022

2021
Non-Parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions.
Proceedings of the Winter Simulation Conference, 2021

Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling.
Proceedings of the Winter Simulation Conference, 2021

2020
Simulation Optimization Based Feature Selection, a Study on Data-Driven Optimization with Input Uncertainty.
Proceedings of the Winter Simulation Conference, 2020

A Simulation Optimization Approach for Managing Product Transitions in Multistage Production Lines.
Proceedings of the Winter Simulation Conference, 2020

2019
Astro for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments.
Proceedings of the 2019 Winter Simulation Conference, 2019

2018
ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization.
SIAM J. Optim., 2018

Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages.
IEEE Access, 2018

2016
ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience.
Proceedings of the Winter Simulation Conference, 2016

2012
Using simulation in hospital layout planning.
Proceedings of the Winter Simulation Conference, 2012


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