Sara Shashaani

According to our database, Sara Shashaani authored at least 27 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Strata Design for Variance Reduction in Stochastic Simulation.

Jaeshin Park, Eunshin Byon, Young Myoung Ko, Sara Shashaani

Technometrics, April, 2025

Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms.

Yunsoo Ha, Sara Shashaani, Matt Menickelly

INFORMS J. Comput., 2025

2024

Data Farming the Parameters of Simulation-Optimization Solvers.

Sara Shashaani, David J. Eckman, Susan M. Sanchez

ACM Trans. Model. Comput. Simul., October, 2024

Building Trees for Probabilistic Prediction via Scoring Rules.

Sara Shashaani, Özge Sürer, Matthew Plumlee, Seth D. Guikema

Technometrics, October, 2024

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

Yunsoo Ha, Sara Shashaani, Raghu Pasupathy

CoRR, 2024

Simulation Optimization: An Introductory Tutorial on Methodology.

Sara Shashaani

Proceedings of the Winter Simulation Conference, 2024

Calibrating Digital Twins via Bayesian Optimization with a Root Finding Strategy.

Yongseok Jeon, Sara Shashaani

Proceedings of the Winter Simulation Conference, 2024

Robust Screening and Partitioning for Feature Selection: A Binary Simulation Optimization Problem.

Ethan Houser, Sara Shashaani

Proceedings of the Winter Simulation Conference, 2024

Repeatedly Solving Similar Simulation-Optimization Problems: Insights from Data Farming.

Nicole Felice, Sara Shashaani, David J. Eckman, Susan M. Sanchez

Proceedings of the Winter Simulation Conference, 2024

Comparative Analysis of Distance Metrics for Distributionally Robust Optimization in Queuing Systems: Wasserstein vs. Kingman.

Hyung-Khee Eun, Sara Shashaani, Russell R. Barton

Proceedings of the Winter Simulation Conference, 2024

2023

SimOpt: A Testbed for Simulation-Optimization Experiments.

David J. Eckman, Shane G. Henderson, Sara Shashaani

INFORMS J. Comput., 2023

Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms.

David J. Eckman, Shane G. Henderson, Sara Shashaani

INFORMS J. Comput., 2023

Adaptive Ranking and Selection Based Genetic Algorithms for Data-Driven Problems.

Kimia Vahdat, Sara Shashaani

Proceedings of the Winter Simulation Conference, 2023

Dynamic Stratification and Post-Stratified Adaptive Sampling for Simulation Optimization.

Pranav Jain, Sara Shashaani

Proceedings of the Winter Simulation Conference, 2023

Towards Greener Stochastic Derivative-Free Optimization with Trust Regions and Adaptive Sampling.

Yunsoo Ha, Sara Shashaani

Proceedings of the Winter Simulation Conference, 2023

Stochastic Constraints: How Feasible Is Feasible?

David J. Eckman, Shane G. Henderson, Sara Shashaani

Proceedings of the Winter Simulation Conference, 2023

2022

Robust Simulation Optimization with Stratification.

Pranav Jain, Eunshin Byon, Sara Shashaani

Proceedings of the Winter Simulation Conference, 2022

Monte Carlo Based Machine Learning.

Sara Shashaani, Kimia Vahdat

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.

Kimia Vahdat, Sara Shashaani

Proceedings of the Winter Simulation Conference, 2021

Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling.

Yunsoo Ha, Sara Shashaani, Quoc Tran-Dinh

Proceedings of the Winter Simulation Conference, 2021

2020

Simulation Optimization Based Feature Selection, a Study on Data-Driven Optimization with Input Uncertainty.

Kimia Vahdat, Sara Shashaani

Proceedings of the Winter Simulation Conference, 2020

A Simulation Optimization Approach for Managing Product Transitions in Multistage Production Lines.

Atchyuta Bharadwaj Manda, Karthick Gopalswamy, Sara Shashaani, Reha Uzsoy

Proceedings of the Winter Simulation Conference, 2020

2019

Astro for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments.

Daniel Vasquez, Raghu Pasupathy, Sara Shashaani

Proceedings of the 2019 Winter Simulation Conference, 2019

2018

ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization.

Sara Shashaani, Fatemeh Sadat Hashemi, Raghu Pasupathy

SIAM J. Optim., 2018

Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages.

Sara Shashaani, Seth D. Guikema, Chengwei Zhai, Jordan V. Pino, Steven M. Quiring

IEEE Access, 2018

2016

ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience.

Sara Shashaani, Susan R. Hunter, Raghu Pasupathy

Proceedings of the Winter Simulation Conference, 2016

2012

Using simulation in hospital layout planning.

Ines V. Arnolds, Stefan Nickel, Sara Shashaani, Christian Wernz

Proceedings of the Winter Simulation Conference, 2012